-----------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/sungkim/Dropbox/KimPelc5/Blood_donations_paper/Final_PoP/Replication/KimPelc_PoP_
> appendix_log.log
  log type:  text
 opened on:   7 Dec 2023, 20:45:05

. do "/var/folders/bc/1b3ytrvs72l4kkkjpggfz82r0000gn/T//SD26037.000000"

. ***********************************************************************************************
. ******** Supplementary Appendix for "Does Political Diversity Inhibit Blood Donations?" *******
. ***********************************************************************************************
. 
. *******************************************
. ******** Tables A1-2, A5-7, A11-16 ********
. *******************************************
. 
. use "KimPelc_Blood_PoP.dta", clear
(Written by R.              )

. 
. * Table A1: Summary Statistics, CES data
. 
. eststo clear

. reg donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum blood_center_zip log_
> blood  L1_firearm_death_rate incarcerated_rate i.state i.year, cluster(state)  

Linear regression                               Number of obs     =    276,951
                                                F(24, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0250
                                                Root MSE          =     .33427

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0086975    .001098    -7.92   0.000    -.0109029   -.0064921
              ideo5_3 |   .0028045   .0006491     4.32   0.000     .0015007    .0041083
      st_mean_ideo5_3 |   .0048206   .0146775     0.33   0.744    -.0246601    .0343012
             fb_share |  -.0313517   .0192435    -1.63   0.110    -.0700033       .0073
                  age |  -.0024451   .0000965   -25.34   0.000    -.0026389   -.0022513
               female |  -.0336303     .00173   -19.44   0.000    -.0371052   -.0301555
              college |   .0734793   .0040362    18.20   0.000     .0653723    .0815863
                   hs |   .0435826   .0039302    11.09   0.000     .0356887    .0514766
          citizen_dum |   .0370283    .005925     6.25   0.000     .0251275    .0489291
          income_100k |    .028983   .0020884    13.88   0.000     .0247883    .0331778
           income_50k |   .0268467   .0022067    12.17   0.000     .0224145    .0312789
                white |  -.0221982   .0039661    -5.60   0.000    -.0301644    -.014232
                black |  -.0528387   .0045279   -11.67   0.000    -.0619333   -.0437441
        race_hispanic |  -.0007281   .0047651    -0.15   0.879    -.0102991    .0088428
                asian |  -.0309272   .0057809    -5.35   0.000    -.0425384   -.0193159
nohealthinsurance_dum |  -.0240952    .003017    -7.99   0.000    -.0301551   -.0180352
     blood_center_zip |  -.0015105   .0008138    -1.86   0.069     -.003145    .0001241
            log_blood |   .0080448   .0029845     2.70   0.010     .0020503    .0140392
L1_firearm_death_rate |   -.000705   .0008188    -0.86   0.393    -.0023497    .0009397
    incarcerated_rate |   .0570867   .0539424     1.06   0.295    -.0512597    .1654332
                      |
                state |
                   2  |  -.0299789   .0017438   -17.19   0.000    -.0334813   -.0264765
                   4  |   -.021355   .0022592    -9.45   0.000    -.0258927   -.0168172
                   5  |  -.0145661   .0013001   -11.20   0.000    -.0171775   -.0119547
                   6  |  -.0074149   .0062984    -1.18   0.245    -.0200656    .0052358
                   8  |  -.0291261   .0035747    -8.15   0.000    -.0363061    -.021946
                   9  |  -.0197564   .0054335    -3.64   0.001    -.0306698    -.008843
                  10  |   .0238117   .0041973     5.67   0.000     .0153812    .0322422
                  11  |  -.0504635   .0135187    -3.73   0.000    -.0776166   -.0233105
                  12  |   .0148898   .0029452     5.06   0.000     .0089742    .0208054
                  13  |   .0022434   .0021495     1.04   0.302    -.0020739    .0065607
                  15  |  -.0283138   .0062947    -4.50   0.000     -.040957   -.0156706
                  16  |  -.0051663   .0016088    -3.21   0.002    -.0083977   -.0019349
                  17  |  -9.38e-06    .006702    -0.00   0.999    -.0134707    .0134519
                  18  |  -.0059869   .0021873    -2.74   0.009    -.0103802   -.0015935
                  19  |  -.0003678   .0032611    -0.11   0.911     -.006918    .0061824
                  20  |  -.0009816   .0024433    -0.40   0.690     -.005889    .0039258
                  21  |  -.0121534   .0020991    -5.79   0.000    -.0163694   -.0079373
                  22  |    .011483   .0008652    13.27   0.000     .0097452    .0132209
                  23  |  -.0154487   .0049221    -3.14   0.003    -.0253352   -.0055623
                  24  |  -.0219123   .0055006    -3.98   0.000    -.0329607   -.0108639
                  25  |  -.0170928   .0076675    -2.23   0.030    -.0324934   -.0016922
                  26  |  -.0168378   .0042284    -3.98   0.000    -.0253308   -.0083449
                  27  |  -.0037146   .0057497    -0.65   0.521    -.0152632     .007834
                  28  |   .0119361   .0008105    14.73   0.000     .0103082     .013564
                  29  |  -.0050657   .0022891    -2.21   0.031    -.0096636   -.0004679
                  30  |  -.0119076   .0024381    -4.88   0.000    -.0168047   -.0070106
                  31  |   .0114667   .0016895     6.79   0.000     .0080733    .0148602
                  32  |  -.0079569   .0038563    -2.06   0.044    -.0157025   -.0002113
                  33  |  -.0132113    .004879    -2.71   0.009    -.0230109   -.0034116
                  34  |  -.0166189   .0055262    -3.01   0.004    -.0277186   -.0055192
                  35  |   -.026622   .0043178    -6.17   0.000    -.0352945   -.0179494
                  36  |  -.0037627   .0071383    -0.53   0.600    -.0181004     .010575
                  37  |  -.0044708   .0025658    -1.74   0.088    -.0096244    .0006828
                  38  |   .0089009   .0020608     4.32   0.000     .0047616    .0130401
                  39  |  -.0165326   .0034696    -4.77   0.000    -.0235014   -.0095637
                  40  |  -.0138292   .0006995   -19.77   0.000    -.0152341   -.0124243
                  41  |  -.0195855   .0065574    -2.99   0.004    -.0327563   -.0064146
                  42  |  -.0179871   .0032541    -5.53   0.000    -.0245232    -.011451
                  44  |   .0054583    .007157     0.76   0.449    -.0089171    .0198336
                  45  |   .0077016    .001053     7.31   0.000     .0055865    .0098166
                  46  |   .0233846   .0014179    16.49   0.000     .0205366    .0262326
                  47  |  -.0057159   .0010296    -5.55   0.000    -.0077839    -.003648
                  48  |  -.0037673   .0017996    -2.09   0.041    -.0073818   -.0001528
                  49  |   .0123257   .0015056     8.19   0.000     .0093016    .0153498
                  50  |   .0055401   .0096926     0.57   0.570     -.013928    .0250082
                  51  |   -.011673   .0035509    -3.29   0.002    -.0188053   -.0045408
                  53  |  -.0136364   .0058302    -2.34   0.023    -.0253467   -.0019261
                  54  |  -.0313749   .0020616   -15.22   0.000    -.0355157   -.0272341
                  55  |  -.0103888   .0035365    -2.94   0.005    -.0174921   -.0032855
                  56  |  -.0136085   .0017877    -7.61   0.000    -.0171991   -.0100179
                      |
                 year |
                2012  |  -.0072023   .0031405    -2.29   0.026    -.0135102   -.0008945
                2014  |   -.008777   .0040875    -2.15   0.037    -.0169871    -.000567
                2016  |  -.0157901   .0054896    -2.88   0.006    -.0268163    -.004764
                2018  |  -.0152856   .0058912    -2.59   0.012    -.0271184   -.0034528
                2020  |  -.0456166   .0065896    -6.92   0.000    -.0588522   -.0323809
                      |
                _cons |   .2015469   .0542084     3.72   0.001     .0926662    .3104275
---------------------------------------------------------------------------------------

. estpost summarize donate_blood dist_st_ideo5_3 dist_cz_ideo5_3 ideo5_3 st_mean_ideo5_3 cz_mean_ideo
> 5_3 fb_share age female college hs citizen_dum income_100k income_50k white black race_hispanic asi
> an nohealthinsurance_dum log_blood  L1_firearm_death_rate incarcerated_rate if e(sample)

             |  e(count)   e(sum_w)    e(mean)     e(Var)      e(sd)     e(min)     e(max) 
-------------+-----------------------------------------------------------------------------
donate_blood |    276951     276951   .1319981    .114575   .3384893          0          1 
dist_st_id~3 |    276951     276951   .9347373   .4709771   .6862777   .0021505   2.828877 
dist_cz_id~3 |    276951     276951   .9240701   .4535348   .6734499          0   3.166667 
     ideo5_3 |    276951     276951   3.089929   1.383507   1.176226          1          5 
st_mean_id~3 |    276951     276951   3.075142    .037884   .1946382   2.171123   3.672932 
cz_mean_id~3 |    276951     276951    3.07623   .0738348   .2717256          1          5 
    fb_share |    276951     276951   .1327555   .0093838     .09687   .0033681   .4695148 
         age |    276951     276951   52.29561   258.2311   16.06957         18         96 
      female |    276951     276951   .5336142    .248871   .4988697          0          1 
     college |    276951     276951   .4127192   .2423829    .492324          0          1 
          hs |    276951     276951   .5682413    .245344   .4953221          0          1 
 citizen_dum |    276951     276951   .9877812   .0120695   .1098613          0          1 
 income_100k |    276951     276951   .2944889   .2077659   .4558135          0          1 
  income_50k |    276951     276951    .326556    .219918   .4689541          0          1 
       white |    276951     276951   .7736314   .1751265   .4184811          0          1 
       black |    276951     276951   .0913663   .0830188   .2881299          0          1 
race_hispa~c |    276951     276951   .0658275   .0614945   .2479808          0          1 
       asian |    276951     276951   .0237623   .0231978   .1523081          0          1 
nohealthin~m |    276951     276951   .0888497   .0809557   .2845271          0          1 
   log_blood |    276951     276951   1.171831   .7285457   .8535489          0   3.258096 
L1_firearm~e |    276951     276951   .1603491   .6265159   .7915276          0   15.10827 
incarcerat~e |    276951     276951   .0066376   .0002022   .0142209          0    .456294 

             |    e(sum) 
-------------+-----------
donate_blood |     36557 
dist_st_id~3 |  258876.4 
dist_cz_id~3 |  255922.1 
     ideo5_3 |    855759 
st_mean_id~3 |  851663.7 
cz_mean_id~3 |  851964.8 
    fb_share |  36766.77 
         age |  1.45e+07 
      female |    147785 
     college |    114303 
          hs |    157375 
 citizen_dum |    273567 
 income_100k |     81559 
  income_50k |     90440 
       white |    214258 
       black |     25304 
race_hispa~c |     18231 
       asian |      6581 
nohealthin~m |     24607 
   log_blood |  324539.7 
L1_firearm~e |  44408.85 
incarcerat~e |  1838.285 

. esttab using "TableA1.tex", cells("mean(fmt(2)) sd min max") nomtitle nonumber noobs label replace
(output written to TableA1.tex)

. 
. * Table A2: Correlation Table, CES Data
. 
. eststo clear

. reg donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum blood_center_zip log_
> blood  L1_firearm_death_rate incarcerated_rate i.state i.year, cluster(state)  

Linear regression                               Number of obs     =    276,951
                                                F(24, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0250
                                                Root MSE          =     .33427

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0086975    .001098    -7.92   0.000    -.0109029   -.0064921
              ideo5_3 |   .0028045   .0006491     4.32   0.000     .0015007    .0041083
      st_mean_ideo5_3 |   .0048206   .0146775     0.33   0.744    -.0246601    .0343012
             fb_share |  -.0313517   .0192435    -1.63   0.110    -.0700033       .0073
                  age |  -.0024451   .0000965   -25.34   0.000    -.0026389   -.0022513
               female |  -.0336303     .00173   -19.44   0.000    -.0371052   -.0301555
              college |   .0734793   .0040362    18.20   0.000     .0653723    .0815863
                   hs |   .0435826   .0039302    11.09   0.000     .0356887    .0514766
          citizen_dum |   .0370283    .005925     6.25   0.000     .0251275    .0489291
          income_100k |    .028983   .0020884    13.88   0.000     .0247883    .0331778
           income_50k |   .0268467   .0022067    12.17   0.000     .0224145    .0312789
                white |  -.0221982   .0039661    -5.60   0.000    -.0301644    -.014232
                black |  -.0528387   .0045279   -11.67   0.000    -.0619333   -.0437441
        race_hispanic |  -.0007281   .0047651    -0.15   0.879    -.0102991    .0088428
                asian |  -.0309272   .0057809    -5.35   0.000    -.0425384   -.0193159
nohealthinsurance_dum |  -.0240952    .003017    -7.99   0.000    -.0301551   -.0180352
     blood_center_zip |  -.0015105   .0008138    -1.86   0.069     -.003145    .0001241
            log_blood |   .0080448   .0029845     2.70   0.010     .0020503    .0140392
L1_firearm_death_rate |   -.000705   .0008188    -0.86   0.393    -.0023497    .0009397
    incarcerated_rate |   .0570867   .0539424     1.06   0.295    -.0512597    .1654332
                      |
                state |
                   2  |  -.0299789   .0017438   -17.19   0.000    -.0334813   -.0264765
                   4  |   -.021355   .0022592    -9.45   0.000    -.0258927   -.0168172
                   5  |  -.0145661   .0013001   -11.20   0.000    -.0171775   -.0119547
                   6  |  -.0074149   .0062984    -1.18   0.245    -.0200656    .0052358
                   8  |  -.0291261   .0035747    -8.15   0.000    -.0363061    -.021946
                   9  |  -.0197564   .0054335    -3.64   0.001    -.0306698    -.008843
                  10  |   .0238117   .0041973     5.67   0.000     .0153812    .0322422
                  11  |  -.0504635   .0135187    -3.73   0.000    -.0776166   -.0233105
                  12  |   .0148898   .0029452     5.06   0.000     .0089742    .0208054
                  13  |   .0022434   .0021495     1.04   0.302    -.0020739    .0065607
                  15  |  -.0283138   .0062947    -4.50   0.000     -.040957   -.0156706
                  16  |  -.0051663   .0016088    -3.21   0.002    -.0083977   -.0019349
                  17  |  -9.38e-06    .006702    -0.00   0.999    -.0134707    .0134519
                  18  |  -.0059869   .0021873    -2.74   0.009    -.0103802   -.0015935
                  19  |  -.0003678   .0032611    -0.11   0.911     -.006918    .0061824
                  20  |  -.0009816   .0024433    -0.40   0.690     -.005889    .0039258
                  21  |  -.0121534   .0020991    -5.79   0.000    -.0163694   -.0079373
                  22  |    .011483   .0008652    13.27   0.000     .0097452    .0132209
                  23  |  -.0154487   .0049221    -3.14   0.003    -.0253352   -.0055623
                  24  |  -.0219123   .0055006    -3.98   0.000    -.0329607   -.0108639
                  25  |  -.0170928   .0076675    -2.23   0.030    -.0324934   -.0016922
                  26  |  -.0168378   .0042284    -3.98   0.000    -.0253308   -.0083449
                  27  |  -.0037146   .0057497    -0.65   0.521    -.0152632     .007834
                  28  |   .0119361   .0008105    14.73   0.000     .0103082     .013564
                  29  |  -.0050657   .0022891    -2.21   0.031    -.0096636   -.0004679
                  30  |  -.0119076   .0024381    -4.88   0.000    -.0168047   -.0070106
                  31  |   .0114667   .0016895     6.79   0.000     .0080733    .0148602
                  32  |  -.0079569   .0038563    -2.06   0.044    -.0157025   -.0002113
                  33  |  -.0132113    .004879    -2.71   0.009    -.0230109   -.0034116
                  34  |  -.0166189   .0055262    -3.01   0.004    -.0277186   -.0055192
                  35  |   -.026622   .0043178    -6.17   0.000    -.0352945   -.0179494
                  36  |  -.0037627   .0071383    -0.53   0.600    -.0181004     .010575
                  37  |  -.0044708   .0025658    -1.74   0.088    -.0096244    .0006828
                  38  |   .0089009   .0020608     4.32   0.000     .0047616    .0130401
                  39  |  -.0165326   .0034696    -4.77   0.000    -.0235014   -.0095637
                  40  |  -.0138292   .0006995   -19.77   0.000    -.0152341   -.0124243
                  41  |  -.0195855   .0065574    -2.99   0.004    -.0327563   -.0064146
                  42  |  -.0179871   .0032541    -5.53   0.000    -.0245232    -.011451
                  44  |   .0054583    .007157     0.76   0.449    -.0089171    .0198336
                  45  |   .0077016    .001053     7.31   0.000     .0055865    .0098166
                  46  |   .0233846   .0014179    16.49   0.000     .0205366    .0262326
                  47  |  -.0057159   .0010296    -5.55   0.000    -.0077839    -.003648
                  48  |  -.0037673   .0017996    -2.09   0.041    -.0073818   -.0001528
                  49  |   .0123257   .0015056     8.19   0.000     .0093016    .0153498
                  50  |   .0055401   .0096926     0.57   0.570     -.013928    .0250082
                  51  |   -.011673   .0035509    -3.29   0.002    -.0188053   -.0045408
                  53  |  -.0136364   .0058302    -2.34   0.023    -.0253467   -.0019261
                  54  |  -.0313749   .0020616   -15.22   0.000    -.0355157   -.0272341
                  55  |  -.0103888   .0035365    -2.94   0.005    -.0174921   -.0032855
                  56  |  -.0136085   .0017877    -7.61   0.000    -.0171991   -.0100179
                      |
                 year |
                2012  |  -.0072023   .0031405    -2.29   0.026    -.0135102   -.0008945
                2014  |   -.008777   .0040875    -2.15   0.037    -.0169871    -.000567
                2016  |  -.0157901   .0054896    -2.88   0.006    -.0268163    -.004764
                2018  |  -.0152856   .0058912    -2.59   0.012    -.0271184   -.0034528
                2020  |  -.0456166   .0065896    -6.92   0.000    -.0588522   -.0323809
                      |
                _cons |   .2015469   .0542084     3.72   0.001     .0926662    .3104275
---------------------------------------------------------------------------------------

. estpost correlate donate_blood dist_st_ideo5_3 dist_cz_ideo5_3 ideo5_3 st_mean_ideo5_3 cz_mean_ideo
> 5_3 fb_share age female college hs citizen_dum income_100k income_50k white black race_hispanic asi
> an nohealthinsurance_dum log_blood  L1_firearm_death_rate incarcerated_rate if e(sample), matrix li
> stwise

             |      e(b)     e(rho)       e(p)   e(count) 
-------------+--------------------------------------------
donate_blood |                                            
donate_blood |         1          1                276951 
dist_st_id~3 | -.0139491  -.0139491   2.12e-13     276951 
dist_cz_id~3 | -.0137901  -.0137901   3.94e-13     276951 
     ideo5_3 | -.0024264  -.0024264   .2016357     276951 
st_mean_id~3 |  .0231134   .0231134   4.76e-34     276951 
cz_mean_id~3 |  .0117517   .0117517   6.22e-10     276951 
    fb_share |  .0118066   .0118066   5.18e-10     276951 
         age | -.1034739  -.1034739          0     276951 
      female | -.0487388  -.0487388   2.9e-145     276951 
     college |  .0669565   .0669565   1.4e-272     276951 
          hs | -.0589269  -.0589269   1.7e-211     276951 
 citizen_dum |  .0035617   .0035617   .0608786     276951 
 income_100k |  .0324682   .0324682   1.73e-65     276951 
  income_50k |  .0294822   .0294822   2.59e-54     276951 
       white | -.0116911  -.0116911   7.62e-10     276951 
       black | -.0271774  -.0271774   2.04e-46     276951 
race_hispa~c |  .0283283   .0283283   2.80e-50     276951 
       asian |  .0112985   .0112985   2.75e-09     276951 
nohealthin~m | -.0136122  -.0136122   7.84e-13     276951 
   log_blood |  .0186262   .0186262   1.09e-22     276951 
L1_firearm~e |  .0025904   .0025904   .1728094     276951 
incarcerat~e | -.0045135  -.0045135   .0175364     276951 
dist_st_id~3 |                                            
dist_st_id~3 |         1          1                276951 
dist_cz_id~3 |  .9626854   .9626854          0     276951 
     ideo5_3 | -.0311121  -.0311121   2.79e-60     276951 
st_mean_id~3 |  .0232661   .0232661   1.77e-34     276951 
cz_mean_id~3 |  .0192137   .0192137   4.87e-24     276951 
    fb_share | -.0203387  -.0203387   9.69e-27     276951 
         age |  .0036487   .0036487   .0548358     276951 
      female | -.0219151  -.0219151   8.85e-31     276951 
     college |  .0418315   .0418315   1.7e-107     276951 
          hs | -.0403145  -.0403145   5.7e-100     276951 
 citizen_dum |  .0140186   .0140186   1.61e-13     276951 
 income_100k |  .0094411   .0094411   6.75e-07     276951 
  income_50k |  .0013827   .0013827    .466832     276951 
       white |  .0584568   .0584568   3.6e-208     276951 
       black | -.0460966  -.0460966   3.9e-130     276951 
race_hispa~c |  -.031551   -.031551   6.09e-62     276951 
       asian | -.0357614  -.0357614   4.64e-79     276951 
nohealthin~m |  .0059284   .0059284   .0018092     276951 
   log_blood | -.0180428  -.0180428   2.18e-21     276951 
L1_firearm~e | -.0011783  -.0011783   .5351927     276951 
incarcerat~e |  .0056506   .0056506   .0029425     276951 
dist_cz_id~3 |                                            
dist_cz_id~3 |         1          1                276951 
     ideo5_3 | -.0356608  -.0356608   1.26e-78     276951 
st_mean_id~3 |  .0106587   .0106587   2.03e-08     276951 
cz_mean_id~3 | -.0075747  -.0075747   .0000671     276951 
    fb_share | -.0088337  -.0088337   3.34e-06     276951 
         age |  .0018716   .0018716   .3246433     276951 
      female |  -.022983   -.022983   1.10e-33     276951 
     college |  .0396714   .0396714   7.23e-97     276951 
          hs | -.0385294  -.0385294   1.78e-91     276951 
 citizen_dum |  .0138719   .0138719   2.87e-13     276951 
 income_100k |  .0107955   .0107955   1.34e-08     276951 
  income_50k | -.0002885  -.0002885   .8793207     276951 
       white |   .057803    .057803   1.4e-203     276951 
       black | -.0473633  -.0473633   2.8e-137     276951 
race_hispa~c | -.0298864  -.0298864   9.20e-56     276951 
       asian | -.0342092  -.0342092   1.68e-72     276951 
nohealthin~m |  .0071802   .0071802   .0001576     276951 
   log_blood | -.0064577  -.0064577   .0006776     276951 
L1_firearm~e |  .0000834   .0000834   .9650031     276951 
incarcerat~e |  .0001002   .0001002    .957965     276951 
ideo5_3      |                                            
     ideo5_3 |         1          1                276951 
st_mean_id~3 |  .1679389   .1679389          0     276951 
cz_mean_id~3 |   .234795    .234795          0     276951 
    fb_share | -.1114328  -.1114328          0     276951 
         age |  .1866778   .1866778          0     276951 
      female | -.1033305  -.1033305          0     276951 
     college |  -.124626   -.124626          0     276951 
          hs |  .1184376   .1184376          0     276951 
 citizen_dum |  .0356914   .0356914   9.31e-79     276951 
 income_100k |  .0234939   .0234939   4.01e-35     276951 
  income_50k |   .004306    .004306   .0234478     276951 
       white |  .1060494   .1060494          0     276951 
       black | -.0979818  -.0979818          0     276951 
race_hispa~c | -.0483467  -.0483467   5.8e-143     276951 
       asian | -.0432695  -.0432695   7.0e-115     276951 
nohealthin~m | -.0083927  -.0083927     .00001     276951 
   log_blood | -.1324852  -.1324852          0     276951 
L1_firearm~e | -.0169688  -.0169688   4.24e-19     276951 
incarcerat~e |  .0463291   .0463291   2.0e-131     276951 
st_mean_id~3 |                                            
st_mean_id~3 |         1          1                276951 
cz_mean_id~3 |  .6937285   .6937285          0     276951 
    fb_share | -.3651998  -.3651998          0     276951 
         age |  .0508156   .0508156   9.6e-158     276951 
      female | -.0111971  -.0111971   3.80e-09     276951 
     college | -.0479225  -.0479225   1.7e-140     276951 
          hs |  .0454876   .0454876   9.1e-127     276951 
 citizen_dum |  .0318171   .0318171   5.83e-63     276951 
 income_100k | -.0595273  -.0595273   8.4e-216     276951 
  income_50k |  .0039236   .0039236   .0389368     276951 
       white |  .0537829   .0537829   1.7e-176     276951 
       black |  .0206728   .0206728   1.43e-27     276951 
race_hispa~c | -.0507196  -.0507196   3.7e-157     276951 
       asian | -.0958685  -.0958685          0     276951 
nohealthin~m |  .0963407   .0963407          0     276951 
   log_blood | -.1849736  -.1849736          0     276951 
L1_firearm~e |  .0273958   .0273958   3.87e-47     276951 
incarcerat~e |  .0609047   .0609047   8.0e-226     276951 
cz_mean_id~3 |                                            
cz_mean_id~3 |         1          1                276951 
    fb_share | -.4728685  -.4728685          0     276951 
         age |  .0710292   .0710292   1.4e-306     276951 
      female | -.0037675  -.0037675    .047404     276951 
     college | -.1031446  -.1031446          0     276951 
          hs |  .0967168   .0967168          0     276951 
 citizen_dum |   .042049    .042049   1.3e-108     276951 
 income_100k | -.0895388  -.0895388          0     276951 
  income_50k | -.0021135  -.0021135   .2660406     276951 
       white |  .1001338   .1001338          0     276951 
       black |  -.031255   -.031255   8.08e-61     276951 
race_hispa~c | -.0688919  -.0688919   1.7e-288     276951 
       asian | -.0986318  -.0986318          0     276951 
nohealthin~m |  .0778098   .0778098          0     276951 
   log_blood | -.3575715  -.3575715          0     276951 
L1_firearm~e |   .003728    .003728   .0497746     276951 
incarcerat~e |  .1458605   .1458605          0     276951 
fb_share     |                                            
    fb_share |         1          1                276951 
         age | -.0563546  -.0563546   1.4e-193     276951 
      female | -.0305095  -.0305095   4.89e-58     276951 
     college |  .1087524   .1087524          0     276951 
          hs |  -.103256   -.103256          0     276951 
 citizen_dum | -.0708291  -.0708291   7.4e-305     276951 
 income_100k |  .1180336   .1180336          0     276951 
  income_50k | -.0001909  -.0001909   .9199721     276951 
       white | -.2169966  -.2169966          0     276951 
       black |  .0474187   .0474187   1.3e-137     276951 
race_hispa~c |  .2134778   .2134778          0     276951 
       asian |  .1259536   .1259536          0     276951 
nohealthin~m | -.0130142  -.0130142   7.43e-12     276951 
   log_blood |  .5368953   .5368953          0     276951 
L1_firearm~e |  .0509823   .0509823   9.1e-159     276951 
incarcerat~e |  -.113604   -.113604          0     276951 
age          |                                            
         age |         1          1                276951 
      female | -.1260862  -.1260862          0     276951 
     college | -.0600119  -.0600119   2.7e-219     276951 
          hs |  .0591087   .0591087   8.4e-213     276951 
 citizen_dum |  .0835948   .0835948          0     276951 
 income_100k |  .0619014   .0619014   3.2e-233     276951 
  income_50k | -.0231426  -.0231426   3.94e-34     276951 
       white |  .2009904   .2009904          0     276951 
       black | -.0788062  -.0788062          0     276951 
race_hispa~c |  -.145134   -.145134          0     276951 
       asian | -.1266997  -.1266997          0     276951 
nohealthin~m | -.1441319  -.1441319          0     276951 
   log_blood | -.0797204  -.0797204          0     276951 
L1_firearm~e | -.0178341  -.0178341   6.22e-21     276951 
incarcerat~e |  .0220949   .0220949   2.93e-31     276951 
female       |                                            
      female |         1          1                276951 
     college | -.0910125  -.0910125          0     276951 
          hs |  .0871263   .0871263          0     276951 
 citizen_dum | -.0118752  -.0118752   4.11e-10     276951 
 income_100k | -.0959578  -.0959578          0     276951 
  income_50k |  -.033879   -.033879   3.83e-71     276951 
       white | -.0553134  -.0553134   1.4e-186     276951 
       black |  .0771548   .0771548          0     276951 
race_hispa~c |   .022027    .022027   4.46e-31     276951 
       asian |  .0028173   .0028173   .1381745     276951 
nohealthin~m |  .0267955   .0267955   3.59e-45     276951 
   log_blood | -.0161799  -.0161799   1.66e-17     276951 
L1_firearm~e |  .0068189   .0068189   .0003325     276951 
incarcerat~e |  .0117944   .0117944   5.40e-10     276951 
college      |                                            
     college |         1          1                276951 
          hs | -.9617237  -.9617237          0     276951 
 citizen_dum | -.0230554  -.0230554   6.91e-34     276951 
 income_100k |  .2319563   .2319563          0     276951 
  income_50k |  .0490397   .0490397   4.9e-147     276951 
       white | -.0116614  -.0116614   8.40e-10     276951 
       black | -.0308619  -.0308619   2.42e-59     276951 
race_hispa~c | -.0094725  -.0094725   6.19e-07     276951 
       asian |  .0839258   .0839258          0     276951 
nohealthin~m | -.0980224  -.0980224          0     276951 
   log_blood |  .1380505   .1380505          0     276951 
L1_firearm~e |  .0138304   .0138304   3.37e-13     276951 
incarcerat~e | -.0547818  -.0547818   4.9e-183     276951 
hs           |                                            
          hs |         1          1                276951 
 citizen_dum |  .0270013   .0270013   7.69e-46     276951 
 income_100k | -.2180965  -.2180965          0     276951 
  income_50k | -.0362928  -.0362928   2.26e-81     276951 
       white |  .0130429   .0130429   6.69e-12     276951 
       black |  .0298851   .0298851   9.30e-56     276951 
race_hispa~c |  .0065375   .0065375   .0005807     276951 
       asian | -.0812019  -.0812019          0     276951 
nohealthin~m |  .0854516   .0854516          0     276951 
   log_blood | -.1302886  -.1302886          0     276951 
L1_firearm~e | -.0135577  -.0135577   9.67e-13     276951 
incarcerat~e |  .0510094   .0510094   6.2e-159     276951 
citizen_dum  |                                            
 citizen_dum |         1          1                276951 
 income_100k |  .0123697   .0123697   7.52e-11     276951 
  income_50k |  .0058917   .0058917   .0019314     276951 
       white |  .1105785   .1105785          0     276951 
       black | -.0022604  -.0022604   .2342177     276951 
race_hispa~c | -.0938676  -.0938676          0     276951 
       asian | -.1440587  -.1440587          0     276951 
nohealthin~m | -.0447419  -.0447419   1.0e-122     276951 
   log_blood |  -.049727   -.049727   3.9e-151     276951 
L1_firearm~e | -.0068049  -.0068049    .000342     276951 
incarcerat~e |  .0096173   .0096173   4.16e-07     276951 
income_100k  |                                            
 income_100k |         1          1                276951 
  income_50k | -.4498944  -.4498944          0     276951 
       white |  .0421063   .0421063   6.9e-109     276951 
       black | -.0692756  -.0692756   1.1e-291     276951 
race_hispa~c | -.0297346  -.0297346   3.24e-55     276951 
       asian |  .0351052   .0351052   2.98e-76     276951 
nohealthin~m | -.1045294  -.1045294          0     276951 
   log_blood |  .1082955   .1082955          0     276951 
L1_firearm~e |  .0045793   .0045793   .0159575     276951 
incarcerat~e | -.0405354  -.0405354   4.7e-101     276951 
income_50k   |                                            
  income_50k |         1          1                276951 
       white |  .0119367   .0119367   3.34e-10     276951 
       black | -.0156106  -.0156106   2.11e-16     276951 
race_hispa~c |  .0080901   .0080901   .0000207     276951 
       asian |  .0029793   .0029793   .1169025     276951 
nohealthin~m | -.0757591  -.0757591          0     276951 
   log_blood |  .0069477   .0069477   .0002558     276951 
L1_firearm~e | -.0008735  -.0008735   .6457393     276951 
incarcerat~e | -.0052466  -.0052466   .0057612     276951 
white        |                                            
       white |         1          1                276951 
       black | -.5862161  -.5862161          0     276951 
race_hispa~c | -.4907375  -.4907375          0     276951 
       asian | -.2884202  -.2884202          0     276951 
nohealthin~m | -.0569728  -.0569728   8.0e-198     276951 
   log_blood | -.1769479  -.1769479          0     276951 
L1_firearm~e | -.0662466  -.0662466   7.1e-267     276951 
incarcerat~e |  .0164058   .0164058   5.91e-18     276951 
black        |                                            
       black |         1          1                276951 
race_hispa~c | -.0841761  -.0841761          0     276951 
       asian | -.0494727  -.0494727   1.3e-149     276951 
nohealthin~m |  .0383512   .0383512   1.20e-90     276951 
   log_blood |  .1183555   .1183555          0     276951 
L1_firearm~e |  .0568292   .0568292   7.8e-197     276951 
incarcerat~e | -.0009379  -.0009379   .6215942     276951 
race_hispa~c |                                            
race_hispa~c |         1          1                276951 
       asian | -.0414149  -.0414149   2.1e-105     276951 
nohealthin~m |  .0434056   .0434056   1.4e-115     276951 
   log_blood |  .1049726   .1049726          0     276951 
L1_firearm~e |  .0235128   .0235128   3.54e-35     276951 
incarcerat~e | -.0094064  -.0094064   7.41e-07     276951 
asian        |                                            
       asian |         1          1                276951 
nohealthin~m | -.0093085  -.0093085   9.64e-07     276951 
   log_blood |  .0915875   .0915875          0     276951 
L1_firearm~e |  .0163633   .0163633   7.18e-18     276951 
incarcerat~e | -.0261586  -.0261586   3.94e-43     276951 
nohealthin~m |                                            
nohealthin~m |         1          1                276951 
   log_blood | -.0215527  -.0215527   7.98e-30     276951 
L1_firearm~e |  .0095351   .0095351   5.22e-07     276951 
incarcerat~e |  .0154218   .0154218   4.80e-16     276951 
log_blood    |                                            
   log_blood |         1          1                276951 
L1_firearm~e |  .0793659   .0793659          0     276951 
incarcerat~e | -.2119816  -.2119816          0     276951 
L1_firearm~e |                                            
L1_firearm~e |         1          1                276951 
incarcerat~e | -.0138482  -.0138482   3.14e-13     276951 
incarcerat~e |                                            
incarcerat~e |         1          1                276951 

. esttab using "TableA2.tex", unstack not noobs compress  label nomtitle nonumber replace b(2) 
(output written to TableA2.tex)

. 
. * Table A5: Probit Models: Social Diversity and Blood Donation
. 
. eststo clear

. 
. eststo: probit donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_
> dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firea
> rm_death_rate incarcerated_rate  i.state , cluster(state)  

Iteration 0:   log pseudolikelihood = -108057.25  
Iteration 1:   log pseudolikelihood = -104620.07  
Iteration 2:   log pseudolikelihood = -104589.79  
Iteration 3:   log pseudolikelihood = -104589.78  
Iteration 4:   log pseudolikelihood = -104589.78  

Probit regression                               Number of obs     =    276,951
                                                Wald chi2(17)     =          .
                                                Prob > chi2       =          .
Log pseudolikelihood = -104589.78               Pseudo R2         =     0.0321

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0443635   .0054981    -8.07   0.000    -.0551396   -.0335874
      st_mean_ideo5_3 |   .4998252   .0418277    11.95   0.000     .4178445     .581806
             fb_share |  -.2159308   .0710995    -3.04   0.002    -.3552832   -.0765783
                  age |  -.0119711    .000375   -31.93   0.000     -.012706   -.0112362
               female |  -.1698667   .0082066   -20.70   0.000    -.1859514   -.1537821
              college |   .4318547   .0317352    13.61   0.000     .3696548    .4940545
                   hs |   .2931231    .031109     9.42   0.000     .2321507    .3540956
          citizen_dum |   .1688066   .0306397     5.51   0.000     .1087539    .2288594
          income_100k |   .1513672    .011325    13.37   0.000     .1291706    .1735639
           income_50k |   .1419338    .010919    13.00   0.000      .120533    .1633347
                white |  -.0970535   .0166786    -5.82   0.000    -.1297429   -.0643641
                black |  -.2632049   .0198198   -13.28   0.000    -.3020511   -.2243588
        race_hispanic |  -.0093573   .0194576    -0.48   0.631    -.0474934    .0287788
                asian |  -.1465269   .0241207    -6.07   0.000    -.1938026   -.0992511
nohealthinsurance_dum |  -.1060144   .0158768    -6.68   0.000    -.1371323   -.0748964
            log_blood |   .0073104   .0074792     0.98   0.328    -.0073486    .0219694
L1_firearm_death_rate |  -.0028539    .004192    -0.68   0.496      -.01107    .0053622
    incarcerated_rate |   .2362885   .2887864     0.82   0.413    -.3297224    .8022994
                      |
                state |
                   2  |  -.1062096   .0079632   -13.34   0.000    -.1218172    -.090602
                   4  |  -.0472454   .0104222    -4.53   0.000    -.0676725   -.0268182
                   5  |  -.0711094   .0068621   -10.36   0.000    -.0845589   -.0576598
                   6  |   .1821865   .0263619     6.91   0.000      .130518     .233855
                   8  |   -.030745   .0118115    -2.60   0.009    -.0538951    -.007595
                   9  |   .0852807   .0205051     4.16   0.000     .0450914      .12547
                  10  |   .2539766   .0138318    18.36   0.000     .2268668    .2810864
                  11  |   .1697643   .0448218     3.79   0.000     .0819152    .2576135
                  12  |   .1689114   .0131895    12.81   0.000     .1430605    .1947624
                  13  |   .0778139   .0097937     7.95   0.000     .0586186    .0970093
                  15  |   .0425367   .0231761     1.84   0.066    -.0028876     .087961
                  16  |  -.0510931   .0067961    -7.52   0.000    -.0644132    -.037773
                  17  |   .1524862   .0171936     8.87   0.000     .1187874     .186185
                  18  |   .0299987   .0079209     3.79   0.000     .0144741    .0455234
                  19  |   .0866993   .0109636     7.91   0.000     .0652109    .1081876
                  20  |   .0557979   .0088156     6.33   0.000     .0385196    .0730762
                  21  |  -.0130583   .0079227    -1.65   0.099    -.0285866      .00247
                  22  |   .0414699   .0040003    10.37   0.000     .0336295    .0493103
                  23  |    .052355    .016241     3.22   0.001     .0205231    .0841869
                  24  |   .0800824   .0199787     4.01   0.000     .0409248    .1192399
                  25  |     .17022   .0255802     6.65   0.000     .1200838    .2203562
                  26  |   .0485649     .01403     3.46   0.001     .0210667    .0760631
                  27  |   .1397316   .0153711     9.09   0.000     .1096048    .1698584
                  28  |   .0459293   .0037316    12.31   0.000     .0386156    .0532431
                  29  |   .0309516   .0062311     4.97   0.000     .0187389    .0431643
                  30  |  -.0160426   .0091865    -1.75   0.081    -.0340478    .0019626
                  31  |    .092262   .0070444    13.10   0.000     .0784551    .1060688
                  32  |   .0819347   .0176133     4.65   0.000     .0474133    .1164561
                  33  |   .0617965   .0163601     3.78   0.000     .0297313    .0938617
                  34  |   .0882159   .0206059     4.28   0.000     .0478291    .1286027
                  35  |   .0049643   .0155863     0.32   0.750    -.0255844    .0355129
                  36  |   .1808764   .0241814     7.48   0.000     .1334818     .228271
                  37  |   .0578768   .0104563     5.54   0.000     .0373829    .0783707
                  38  |   .0566333   .0094186     6.01   0.000     .0381731    .0750934
                  39  |   .0173302   .0107575     1.61   0.107    -.0037541    .0384145
                  40  |  -.0731912    .003084   -23.73   0.000    -.0792356   -.0671467
                  41  |   .1130994   .0219517     5.15   0.000     .0700748     .156124
                  42  |   .0124182   .0102429     1.21   0.225    -.0076575    .0324938
                  44  |   .2709964    .022932    11.82   0.000     .2260506    .3159422
                  45  |   .0460407   .0054688     8.42   0.000     .0353221    .0567594
                  46  |   .0614203   .0061352    10.01   0.000     .0493954    .0734451
                  47  |  -.0232705   .0051735    -4.50   0.000    -.0334104   -.0131307
                  48  |   .0254488   .0092959     2.74   0.006     .0072292    .0436684
                  49  |   .0608689   .0078055     7.80   0.000     .0455704    .0761674
                  50  |   .3041738   .0294165    10.34   0.000     .2465187     .361829
                  51  |   .0587314   .0138741     4.23   0.000     .0315386    .0859242
                  53  |   .1303596   .0201099     6.48   0.000      .090945    .1697742
                  54  |  -.1555506   .0088593   -17.56   0.000    -.1729146   -.1381867
                  55  |   .0547099    .010058     5.44   0.000     .0349967    .0744232
                  56  |  -.1121906   .0080572   -13.92   0.000    -.1279825   -.0963987
                      |
                _cons |  -2.483103   .1649068   -15.06   0.000    -2.806315   -2.159892
---------------------------------------------------------------------------------------
(est1 stored)

. eststo: probit donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs 
> citizen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood 
> L1_firearm_death_rate incarcerated_rate  i.state , cluster(state)  

Iteration 0:   log pseudolikelihood = -108057.25  
Iteration 1:   log pseudolikelihood = -104610.19  
Iteration 2:   log pseudolikelihood =  -104579.9  
Iteration 3:   log pseudolikelihood = -104579.89  
Iteration 4:   log pseudolikelihood = -104579.89  

Probit regression                               Number of obs     =    276,951
                                                Wald chi2(18)     =          .
                                                Prob > chi2       =          .
Log pseudolikelihood = -104579.89               Pseudo R2         =     0.0322

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0432326   .0054274    -7.97   0.000    -.0538701    -.032595
              ideo5_3 |   .0123319   .0031987     3.86   0.000     .0060625    .0186012
      st_mean_ideo5_3 |   .4883679   .0412689    11.83   0.000     .4074824    .5692534
             fb_share |  -.2130258   .0707604    -3.01   0.003    -.3517135   -.0743381
                  age |   -.012103   .0003827   -31.63   0.000    -.0128529    -.011353
               female |   -.167292   .0083492   -20.04   0.000    -.1836563   -.1509278
              college |   .4356956   .0321136    13.57   0.000     .3727541    .4986371
                   hs |    .293695   .0312425     9.40   0.000     .2324609    .3549291
          citizen_dum |   .1676655   .0306274     5.47   0.000     .1076369     .227694
          income_100k |   .1493456   .0114312    13.06   0.000      .126941    .1717503
           income_50k |   .1406523   .0109434    12.85   0.000     .1192035     .162101
                white |  -.0962981   .0167805    -5.74   0.000    -.1291873    -.063409
                black |  -.2587287   .0200283   -12.92   0.000    -.2979835   -.2194739
        race_hispanic |  -.0075751   .0192802    -0.39   0.694    -.0453636    .0302134
                asian |  -.1455501   .0240864    -6.04   0.000    -.1927585   -.0983417
nohealthinsurance_dum |  -.1058541   .0158547    -6.68   0.000    -.1369288   -.0747795
            log_blood |   .0087173   .0075168     1.16   0.246    -.0060155      .02345
L1_firearm_death_rate |  -.0026539   .0041946    -0.63   0.527    -.0108752    .0055673
    incarcerated_rate |   .2262511   .2888388     0.78   0.433    -.3398626    .7923648
                      |
                state |
                   2  |  -.1044899   .0080469   -12.99   0.000    -.1202616   -.0887182
                   4  |  -.0456448   .0104732    -4.36   0.000    -.0661719   -.0251178
                   5  |  -.0694493   .0069195   -10.04   0.000    -.0830113   -.0558874
                   6  |   .1821185   .0262941     6.93   0.000     .1305829     .233654
                   8  |  -.0296672   .0118901    -2.50   0.013    -.0529714   -.0063629
                   9  |   .0869749   .0205505     4.23   0.000     .0466968    .1272531
                  10  |   .2555729   .0139316    18.34   0.000     .2282674    .2828783
                  11  |   .1671625   .0446505     3.74   0.000     .0796491    .2546758
                  12  |   .1691968   .0131778    12.84   0.000     .1433689    .1950248
                  13  |   .0776004   .0097672     7.95   0.000     .0584571    .0967436
                  15  |   .0439484   .0232408     1.89   0.059    -.0016027    .0894996
                  16  |  -.0487943    .006852    -7.12   0.000    -.0622241   -.0353646
                  17  |   .1519822   .0171809     8.85   0.000     .1183082    .1856562
                  18  |   .0314572   .0080136     3.93   0.000     .0157508    .0471635
                  19  |   .0883133   .0110551     7.99   0.000     .0666456     .109981
                  20  |   .0577955    .008939     6.47   0.000     .0402754    .0753157
                  21  |  -.0113274   .0080129    -1.41   0.157    -.0270324    .0043776
                  22  |   .0416845   .0039998    10.42   0.000      .033845     .049524
                  23  |   .0554905    .016434     3.38   0.001     .0232805    .0877006
                  24  |   .0798895   .0199325     4.01   0.000     .0408224    .1189565
                  25  |   .1707648   .0255806     6.68   0.000     .1206278    .2209018
                  26  |   .0499158   .0140999     3.54   0.000     .0222805    .0775511
                  27  |   .1405205   .0154315     9.11   0.000     .1102752    .1707658
                  28  |   .0460433   .0037463    12.29   0.000     .0387007    .0533859
                  29  |   .0318976   .0063123     5.05   0.000     .0195258    .0442694
                  30  |  -.0133132   .0093701    -1.42   0.155    -.0316782    .0050517
                  31  |   .0935018   .0071084    13.15   0.000     .0795696    .1074339
                  32  |   .0833194   .0176319     4.73   0.000     .0487615    .1178772
                  33  |   .0650713   .0165576     3.93   0.000     .0326191    .0975235
                  34  |   .0880087   .0205578     4.28   0.000     .0477162    .1283012
                  35  |   .0069236   .0157116     0.44   0.659    -.0238705    .0377178
                  36  |   .1806695   .0241441     7.48   0.000      .133348    .2279911
                  37  |   .0587421   .0104924     5.60   0.000     .0381773    .0793069
                  38  |    .058624   .0095144     6.16   0.000     .0399762    .0772718
                  39  |   .0189523   .0108578     1.75   0.081    -.0023285    .0402332
                  40  |   -.072311   .0030877   -23.42   0.000    -.0783627   -.0662592
                  41  |   .1153535   .0220856     5.22   0.000     .0720666    .1586404
                  42  |   .0136109   .0103258     1.32   0.187    -.0066273    .0338491
                  44  |   .2720729   .0229744    11.84   0.000     .2270438    .3171019
                  45  |   .0469783   .0055015     8.54   0.000     .0361955    .0577611
                  46  |   .0635467   .0061841    10.28   0.000     .0514261    .0756673
                  47  |  -.0223332   .0052138    -4.28   0.000    -.0325521   -.0121143
                  48  |   .0250983   .0092753     2.71   0.007     .0069191    .0432774
                  49  |   .0616549   .0078129     7.89   0.000     .0463419     .076968
                  50  |   .3072068   .0295937    10.38   0.000     .2492043    .3652094
                  51  |   .0589803   .0138482     4.26   0.000     .0318383    .0861223
                  53  |   .1316881   .0201734     6.53   0.000      .092149    .1712271
                  54  |  -.1523059   .0090251   -16.88   0.000    -.1699948    -.134617
                  55  |   .0562814   .0101601     5.54   0.000     .0363679    .0761949
                  56  |  -.1098329   .0081045   -13.55   0.000    -.1257174   -.0939484
                      |
                _cons |    -2.4852   .1648378   -15.08   0.000    -2.808277   -2.162124
---------------------------------------------------------------------------------------
(est2 stored)

. 
. eststo: probit donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_
> dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firea
> rm_death_rate incarcerated_rate  i.state i.year, cluster(state)  

Iteration 0:   log pseudolikelihood = -108057.25  
Iteration 1:   log pseudolikelihood = -104499.91  
Iteration 2:   log pseudolikelihood = -104465.76  
Iteration 3:   log pseudolikelihood = -104465.74  
Iteration 4:   log pseudolikelihood = -104465.74  

Probit regression                               Number of obs     =    276,951
                                                Wald chi2(22)     =          .
                                                Prob > chi2       =          .
Log pseudolikelihood = -104465.74               Pseudo R2         =     0.0332

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0427091   .0054838    -7.79   0.000    -.0534572   -.0319611
      st_mean_ideo5_3 |   .0204235   .0760724     0.27   0.788    -.1286756    .1695226
             fb_share |  -.2263925   .0711237    -3.18   0.001    -.3657923   -.0869926
                  age |  -.0118956    .000375   -31.72   0.000    -.0126306   -.0111605
               female |  -.1694239   .0082637   -20.50   0.000    -.1856204   -.1532274
              college |   .4335328    .031524    13.75   0.000     .3717469    .4953186
                   hs |    .293778    .030848     9.52   0.000     .2333172    .3542389
          citizen_dum |   .1734225    .031144     5.57   0.000     .1123815    .2344635
          income_100k |   .1546743   .0111956    13.82   0.000     .1327314    .1766173
           income_50k |     .14313   .0110064    13.00   0.000     .1215579    .1647022
                white |  -.0985149   .0166886    -5.90   0.000    -.1312239   -.0658059
                black |  -.2647299   .0199611   -13.26   0.000    -.3038529   -.2256068
        race_hispanic |  -.0082638   .0197031    -0.42   0.675    -.0468811    .0303536
                asian |  -.1452557   .0245028    -5.93   0.000    -.1932804   -.0972311
nohealthinsurance_dum |  -.1040952   .0156556    -6.65   0.000    -.1347796   -.0734107
            log_blood |   .0073858   .0074697     0.99   0.323    -.0072545    .0220261
L1_firearm_death_rate |  -.0027707   .0038834    -0.71   0.476    -.0103821    .0048406
    incarcerated_rate |   .2284324   .2902544     0.79   0.431    -.3404558    .7973206
                      |
                state |
                   2  |  -.1462305   .0086529   -16.90   0.000    -.1631899   -.1292711
                   4  |   -.106284   .0103821   -10.24   0.000    -.1266326   -.0859354
                   5  |  -.0837156   .0062993   -13.29   0.000     -.096062   -.0713692
                   6  |  -.0304243    .033068    -0.92   0.358    -.0952363    .0343878
                   8  |  -.1492261   .0188863    -7.90   0.000    -.1862426   -.1122096
                   9  |  -.0998694   .0289174    -3.45   0.001    -.1565464   -.0431923
                  10  |   .1080583    .022901     4.72   0.000     .0631732    .1529435
                  11  |  -.2810349   .0716998    -3.92   0.000    -.4215639    -.140506
                  12  |    .076319   .0147703     5.17   0.000     .0473698    .1052682
                  13  |   .0074377   .0113821     0.65   0.513    -.0148709    .0297462
                  15  |  -.1479717   .0321343    -4.60   0.000    -.2109538   -.0849896
                  16  |    -.02608   .0087911    -2.97   0.003    -.0433102   -.0088499
                  17  |  -.0301247   .0290832    -1.04   0.300    -.0871267    .0268772
                  18  |  -.0372748   .0108064    -3.45   0.001    -.0584549   -.0160947
                  19  |  -.0129973   .0164014    -0.79   0.428    -.0451435    .0191488
                  20  |  -.0140727   .0120601    -1.17   0.243    -.0377101    .0095647
                  21  |  -.0676298    .009762    -6.93   0.000    -.0867628   -.0484967
                  22  |   .0496139   .0039121    12.68   0.000     .0419464    .0572814
                  23  |  -.0902542   .0236452    -3.82   0.000    -.1365979   -.0439105
                  24  |  -.1095935   .0297428    -3.68   0.000    -.1678883   -.0512986
                  25  |  -.0919412   .0409257    -2.25   0.025    -.1721541   -.0117284
                  26  |  -.0893014   .0218905    -4.08   0.000     -.132206   -.0463968
                  27  |  -.0355166    .028092    -1.26   0.206    -.0905759    .0195428
                  28  |   .0487222   .0038341    12.71   0.000     .0412075    .0562369
                  29  |   -.033024   .0108531    -3.04   0.002    -.0542956   -.0117524
                  30  |  -.0685047   .0105428    -6.50   0.000    -.0891682   -.0478413
                  31  |   .0425765    .008267     5.15   0.000     .0263734    .0587796
                  32  |   -.034331   .0187528    -1.83   0.067    -.0710858    .0024238
                  33  |  -.0799785    .023937    -3.34   0.001    -.1268943   -.0330628
                  34  |  -.0917677   .0283253    -3.24   0.001    -.1472843    -.036251
                  35  |  -.1335707   .0224592    -5.95   0.000      -.17759   -.0895515
                  36  |  -.0402508   .0343837    -1.17   0.242    -.1076416      .02714
                  37  |  -.0249724   .0132291    -1.89   0.059    -.0509009    .0009562
                  38  |   .0257068   .0090982     2.83   0.005     .0078747     .043539
                  39  |  -.0908443   .0174801    -5.20   0.000    -.1251046    -.056584
                  40  |  -.0730351   .0031226   -23.39   0.000    -.0791553    -.066915
                  41  |  -.1046043   .0337847    -3.10   0.002    -.1708211   -.0383875
                  42  |  -.0948973   .0172623    -5.50   0.000    -.1287309   -.0610638
                  44  |   .0214791    .039264     0.55   0.584     -.055477    .0984352
                  45  |    .035985   .0048676     7.39   0.000     .0264447    .0455252
                  46  |   .0913296   .0076707    11.91   0.000     .0762954    .1063638
                  47  |  -.0326581    .004707    -6.94   0.000    -.0418836   -.0234325
                  48  |  -.0200953   .0089432    -2.25   0.025    -.0376237    -.002567
                  49  |   .0390861   .0069664     5.61   0.000     .0254323    .0527399
                  50  |   .0050116   .0482012     0.10   0.917     -.089461    .0994842
                  51  |  -.0612606   .0186196    -3.29   0.001    -.0977544   -.0247668
                  53  |  -.0684327   .0308632    -2.22   0.027    -.1289235   -.0079419
                  54  |  -.1843751   .0084638   -21.78   0.000    -.2009639   -.1677864
                  55  |  -.0604472   .0179486    -3.37   0.001    -.0956257   -.0252687
                  56  |  -.0733884   .0105932    -6.93   0.000    -.0941507   -.0526262
                      |
                 year |
                2012  |   -.033596   .0152627    -2.20   0.028    -.0635103   -.0036816
                2014  |  -.0457007   .0205379    -2.23   0.026    -.0859543   -.0054471
                2016  |  -.0811204   .0276676    -2.93   0.003    -.1353479   -.0268929
                2018  |  -.0798261   .0295928    -2.70   0.007     -.137827   -.0218252
                2020  |  -.2414037   .0352428    -6.85   0.000    -.3104783   -.1723291
                      |
                _cons |  -.8168762   .2751301    -2.97   0.003    -1.356121   -.2776311
---------------------------------------------------------------------------------------
(est3 stored)

. eststo: probit donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs 
> citizen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood 
> L1_firearm_death_rate incarcerated_rate  i.state i.year, cluster(state)  

Iteration 0:   log pseudolikelihood = -108057.25  
Iteration 1:   log pseudolikelihood = -104490.32  
Iteration 2:   log pseudolikelihood = -104456.18  
Iteration 3:   log pseudolikelihood = -104456.17  
Iteration 4:   log pseudolikelihood = -104456.17  

Probit regression                               Number of obs     =    276,951
                                                Wald chi2(23)     =          .
                                                Prob > chi2       =          .
Log pseudolikelihood = -104456.17               Pseudo R2         =     0.0333

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0415917   .0054171    -7.68   0.000    -.0522089   -.0309744
              ideo5_3 |   .0121414   .0032162     3.78   0.000     .0058377    .0184451
      st_mean_ideo5_3 |   .0094332   .0755176     0.12   0.901    -.1385785     .157445
             fb_share |   -.223501   .0707976    -3.16   0.002    -.3622618   -.0847403
                  age |  -.0120254   .0003831   -31.39   0.000    -.0127761   -.0112746
               female |  -.1668858   .0083988   -19.87   0.000    -.1833471   -.1504245
              college |   .4372993   .0318898    13.71   0.000     .3747964    .4998021
                   hs |   .2943334   .0309759     9.50   0.000     .2336219     .355045
          citizen_dum |   .1722709   .0311274     5.53   0.000     .1112624    .2332794
          income_100k |   .1526808   .0112976    13.51   0.000     .1305379    .1748236
           income_50k |   .1418676   .0110268    12.87   0.000     .1202554    .1634798
                white |   -.097771   .0167897    -5.82   0.000    -.1306781   -.0648638
                black |  -.2603171   .0201753   -12.90   0.000      -.29986   -.2207741
        race_hispanic |   -.006503   .0195299    -0.33   0.739     -.044781    .0317749
                asian |  -.1442881    .024463    -5.90   0.000    -.1922348   -.0963415
nohealthinsurance_dum |  -.1039505    .015637    -6.65   0.000    -.1345985   -.0733024
            log_blood |   .0087679   .0075047     1.17   0.243    -.0059411    .0234769
L1_firearm_death_rate |  -.0025695   .0038873    -0.66   0.509    -.0101884    .0050495
    incarcerated_rate |   .2185255   .2903756     0.75   0.452    -.3506003    .7876513
                      |
                state |
                   2  |  -.1445217   .0087317   -16.55   0.000    -.1616354    -.127408
                   4  |  -.1046621   .0104648   -10.00   0.000    -.1251728   -.0841514
                   5  |   -.082073   .0063487   -12.93   0.000    -.0945163   -.0696298
                   6  |  -.0303595   .0330554    -0.92   0.358    -.0951468    .0344278
                   8  |  -.1480859   .0189311    -7.82   0.000    -.1851902   -.1109816
                   9  |  -.0980822   .0289547    -3.39   0.001    -.1548324   -.0413319
                  10  |   .1097162   .0229481     4.78   0.000     .0647387    .1546937
                  11  |   -.283302   .0715507    -3.96   0.000    -.4235389   -.1430652
                  12  |   .0766658   .0148052     5.18   0.000     .0476481    .1056835
                  13  |   .0072691   .0113802     0.64   0.523    -.0150358     .029574
                  15  |  -.1464536   .0321908    -4.55   0.000    -.2095465   -.0833608
                  16  |  -.0238352   .0088144    -2.70   0.007    -.0411111   -.0065592
                  17  |  -.0304997   .0290736    -1.05   0.294     -.087483    .0264835
                  18  |  -.0357936   .0108579    -3.30   0.001    -.0570747   -.0145125
                  19  |   -.011358   .0164365    -0.69   0.490     -.043573    .0208569
                  20  |  -.0120705   .0121371    -0.99   0.320    -.0358588    .0117178
                  21  |  -.0658958    .009815    -6.71   0.000    -.0851328   -.0466588
                  22  |   .0498299   .0039086    12.75   0.000     .0421692    .0574906
                  23  |  -.0870774   .0237424    -3.67   0.000    -.1336117   -.0405431
                  24  |  -.1096682   .0297239    -3.69   0.000     -.167926   -.0514104
                  25  |  -.0912495    .040911    -2.23   0.026    -.1714336   -.0110653
                  26  |  -.0878783   .0219086    -4.01   0.000    -.1308184   -.0449382
                  27  |   -.034631   .0280901    -1.23   0.218    -.0896866    .0204247
                  28  |   .0488184   .0038481    12.69   0.000     .0412763    .0563605
                  29  |  -.0320453   .0108874    -2.94   0.003    -.0533842   -.0107063
                  30  |  -.0657916   .0106919    -6.15   0.000    -.0867474   -.0448358
                  31  |   .0438121   .0083132     5.27   0.000     .0275186    .0601056
                  32  |  -.0328903   .0188085    -1.75   0.080    -.0697544    .0039738
                  33  |  -.0766948   .0240511    -3.19   0.001    -.1238341   -.0295555
                  34  |  -.0918598   .0283275    -3.24   0.001    -.1473807   -.0363389
                  35  |   -.131566   .0225387    -5.84   0.000    -.1757409    -.087391
                  36  |  -.0403116   .0343721    -1.17   0.241    -.1076797    .0270565
                  37  |  -.0240673   .0132586    -1.82   0.069    -.0500537    .0019191
                  38  |   .0277105   .0091966     3.01   0.003     .0096855    .0457356
                  39  |  -.0891743    .017516    -5.09   0.000    -.1235049   -.0548436
                  40  |  -.0721827    .003126   -23.09   0.000    -.0783095   -.0660559
                  41  |  -.1022572   .0338308    -3.02   0.003    -.1685643   -.0359501
                  42  |  -.0936427    .017291    -5.42   0.000    -.1275325   -.0597529
                  44  |    .022691   .0392648     0.58   0.563    -.0542666    .0996485
                  45  |    .036915   .0049051     7.53   0.000     .0273013    .0465288
                  46  |   .0934306   .0077018    12.13   0.000     .0783353     .108526
                  47  |  -.0317299   .0047483    -6.68   0.000    -.0410364   -.0224234
                  48  |  -.0204076   .0089578    -2.28   0.023    -.0379644   -.0028507
                  49  |   .0398757   .0069803     5.71   0.000     .0261945    .0535569
                  50  |    .008155   .0482364     0.17   0.866    -.0863867    .1026966
                  51  |  -.0609459   .0186057    -3.28   0.001    -.0974124   -.0244794
                  53  |  -.0670008   .0308949    -2.17   0.030    -.1275537   -.0064479
                  54  |  -.1811605   .0086216   -21.01   0.000    -.1980586   -.1642625
                  55  |  -.0588264   .0179708    -3.27   0.001    -.0940484   -.0236044
                  56  |  -.0710778   .0106107    -6.70   0.000    -.0918743   -.0502813
                      |
                 year |
                2012  |  -.0333656   .0152391    -2.19   0.029    -.0632338   -.0034975
                2014  |   -.045667   .0204948    -2.23   0.026    -.0858362   -.0054979
                2016  |  -.0810593   .0276029    -2.94   0.003    -.1351599   -.0269587
                2018  |  -.0797887   .0295308    -2.70   0.007    -.1376679   -.0219094
                2020  |  -.2411375    .035144    -6.86   0.000    -.3100184   -.1722565
                      |
                _cons |  -.8199796   .2746614    -2.99   0.003    -1.358306   -.2816531
---------------------------------------------------------------------------------------
(est4 stored)

. 
. eststo: probit donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_
> dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firea
> rm_death_rate incarcerated_rate  i.state , cluster(czone)  

Iteration 0:   log pseudolikelihood = -108057.25  
Iteration 1:   log pseudolikelihood = -104731.51  
Iteration 2:   log pseudolikelihood = -104703.52  
Iteration 3:   log pseudolikelihood = -104703.51  
Iteration 4:   log pseudolikelihood = -104703.51  

Probit regression                               Number of obs     =    276,951
                                                Wald chi2(65)     =          .
                                                Prob > chi2       =          .
Log pseudolikelihood = -104703.51               Pseudo R2         =     0.0310

                                         (Std. Err. adjusted for 726 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0421692   .0044084    -9.57   0.000    -.0508095   -.0335288
      cz_mean_ideo5_3 |   .1890169   .0214065     8.83   0.000      .147061    .2309728
             fb_share |  -.0285355   .0735736    -0.39   0.698    -.1727371    .1156661
                  age |    -.01183   .0002597   -45.55   0.000    -.0123391    -.011321
               female |  -.1721785   .0080023   -21.52   0.000    -.1878626   -.1564944
              college |   .4376797   .0298555    14.66   0.000     .3791639    .4961955
                   hs |   .2963355   .0302299     9.80   0.000     .2370861     .355585
          citizen_dum |   .1697896   .0335549     5.06   0.000     .1040231     .235556
          income_100k |   .1533407   .0099965    15.34   0.000      .133748    .1729334
           income_50k |   .1438671   .0081624    17.63   0.000      .127869    .1598651
                white |  -.0975435   .0174775    -5.58   0.000    -.1317987   -.0632883
                black |  -.2588342   .0213642   -12.12   0.000    -.3007073   -.2169612
        race_hispanic |   -.012375    .020646    -0.60   0.549    -.0528404    .0280903
                asian |  -.1551643   .0251365    -6.17   0.000     -.204431   -.1058975
nohealthinsurance_dum |  -.0966496   .0129093    -7.49   0.000    -.1219513   -.0713479
            log_blood |   .0169767   .0079103     2.15   0.032     .0014728    .0324806
L1_firearm_death_rate |  -.0022825   .0043626    -0.52   0.601    -.0108331    .0062681
    incarcerated_rate |    .094008   .2982068     0.32   0.753    -.4904666    .6784826
                      |
                state |
                   2  |  -.1290778   .0424436    -3.04   0.002    -.2122656   -.0458899
                   4  |  -.0948129    .029748    -3.19   0.001    -.1531178   -.0365079
                   5  |  -.0743493   .0414026    -1.80   0.073    -.1554969    .0067983
                   6  |   .0027878   .0324691     0.09   0.932    -.0608506    .0664261
                   8  |  -.1172637   .0540989    -2.17   0.030    -.2232956   -.0112317
                   9  |   -.046247   .0289101    -1.60   0.110    -.1029098    .0104158
                  10  |   .1429125   .0356941     4.00   0.000     .0729533    .2128717
                  11  |  -.2460231   .0306516    -8.03   0.000     -.306099   -.1859471
                  12  |   .0784907   .0326013     2.41   0.016     .0145932    .1423881
                  13  |   .0206772   .0327652     0.63   0.528    -.0435414    .0848958
                  15  |  -.1040751   .0472399    -2.20   0.028    -.1966635   -.0114866
                  16  |  -.0242164   .0645336    -0.38   0.707       -.1507    .1022672
                  17  |   .0110502   .0323715     0.34   0.733    -.0523967    .0744972
                  18  |  -.0118723   .0410771    -0.29   0.773    -.0923819    .0686373
                  19  |   .0265089   .0373274     0.71   0.478    -.0466514    .0996692
                  20  |   .0181832   .0357948     0.51   0.611    -.0519734    .0883398
                  21  |  -.0433088   .0376462    -1.15   0.250    -.1170941    .0304765
                  22  |   .0523338   .0413174     1.27   0.205    -.0286468    .1333144
                  23  |  -.0280199   .0576931    -0.49   0.627    -.1410963    .0850565
                  24  |  -.0625449   .0314709    -1.99   0.047    -.1242267   -.0008631
                  25  |   -.022017   .0300349    -0.73   0.464    -.0808844    .0368504
                  26  |  -.0387394   .0311238    -1.24   0.213    -.0997408     .022262
                  27  |   .0170086   .0368694     0.46   0.645     -.055254    .0892713
                  28  |   .0600779   .0396399     1.52   0.130    -.0176149    .1377706
                  29  |  -.0106174   .0398877    -0.27   0.790    -.0887958    .0675611
                  30  |  -.0403129    .043781    -0.92   0.357    -.1261221    .0454963
                  31  |    .056301   .0748996     0.75   0.452    -.0904995    .2031014
                  32  |  -.0251469   .0297283    -0.85   0.398    -.0834133    .0331196
                  33  |  -.0204136   .0299253    -0.68   0.495    -.0790661     .038239
                  34  |   -.062606   .0520873    -1.20   0.229    -.1646953    .0394832
                  35  |  -.0865953   .0466323    -1.86   0.063    -.1779929    .0048024
                  36  |  -.0001654   .0307681    -0.01   0.996    -.0604697    .0601389
                  37  |  -.0018138   .0372764    -0.05   0.961    -.0748742    .0712467
                  38  |   .0444415   .0541319     0.82   0.412    -.0616552    .1505381
                  39  |  -.0497984   .0387464    -1.29   0.199    -.1257399    .0261431
                  40  |  -.0700858   .0382895    -1.83   0.067    -.1451319    .0049603
                  41  |  -.0397842   .0422432    -0.94   0.346    -.1225793     .043011
                  42  |  -.0616574   .0369423    -1.67   0.095    -.1340631    .0107482
                  44  |    .080135   .0287191     2.79   0.005     .0238467    .1364234
                  45  |    .043264   .0472566     0.92   0.360    -.0493572    .1358851
                  46  |   .0850101   .0670168     1.27   0.205    -.0463405    .2163606
                  47  |  -.0316423   .0524821    -0.60   0.547    -.1345053    .0712207
                  48  |  -.0296047    .031721    -0.93   0.351    -.0917767    .0325674
                  49  |    .043913   .0529236     0.83   0.407    -.0598154    .1476413
                  50  |   .1051328   .0669685     1.57   0.116    -.0261231    .2363886
                  51  |   -.026948    .037004    -0.73   0.466    -.0994745    .0455786
                  53  |  -.0110517   .0328922    -0.34   0.737    -.0755192    .0534159
                  54  |   -.158811   .0446529    -3.56   0.000    -.2463291   -.0712928
                  55  |  -.0158714   .0456898    -0.35   0.728    -.1054217    .0736789
                  56  |  -.0746839   .0690561    -1.08   0.279    -.2100313    .0606635
                      |
                _cons |  -1.483947   .0884398   -16.78   0.000    -1.657286   -1.310608
---------------------------------------------------------------------------------------
(est5 stored)

. eststo: probit donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs 
> citizen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood 
> L1_firearm_death_rate incarcerated_rate  i.state , cluster(czone)  

Iteration 0:   log pseudolikelihood = -108057.25  
Iteration 1:   log pseudolikelihood = -104722.07  
Iteration 2:   log pseudolikelihood = -104694.05  
Iteration 3:   log pseudolikelihood = -104694.04  
Iteration 4:   log pseudolikelihood = -104694.04  

Probit regression                               Number of obs     =    276,951
                                                Wald chi2(66)     =          .
                                                Prob > chi2       =          .
Log pseudolikelihood = -104694.04               Pseudo R2         =     0.0311

                                         (Std. Err. adjusted for 726 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0411084    .004419    -9.30   0.000    -.0497694   -.0324474
              ideo5_3 |   .0121639   .0034913     3.48   0.000      .005321    .0190068
      cz_mean_ideo5_3 |   .1780224   .0207493     8.58   0.000     .1373546    .2186903
             fb_share |  -.0376201   .0725597    -0.52   0.604    -.1798345    .1045944
                  age |  -.0119592   .0002664   -44.89   0.000    -.0124813   -.0114371
               female |  -.1696678   .0080993   -20.95   0.000    -.1855421   -.1537934
              college |   .4412888   .0298081    14.80   0.000      .382866    .4997116
                   hs |   .2968638   .0302153     9.82   0.000     .2376428    .3560847
          citizen_dum |   .1687155   .0335558     5.03   0.000     .1029473    .2344837
          income_100k |   .1512611   .0099053    15.27   0.000     .1318471    .1706752
           income_50k |   .1425611   .0081606    17.47   0.000     .1265665    .1585556
                white |  -.0968328   .0175248    -5.53   0.000    -.1311808   -.0624849
                black |  -.2546271   .0215662   -11.81   0.000    -.2968961   -.2123582
        race_hispanic |  -.0105866   .0207157    -0.51   0.609    -.0511887    .0300155
                asian |  -.1542885   .0252113    -6.12   0.000    -.2037018   -.1048752
nohealthinsurance_dum |  -.0964933   .0128855    -7.49   0.000    -.1217484   -.0712382
            log_blood |   .0179335   .0078305     2.29   0.022      .002586     .033281
L1_firearm_death_rate |  -.0020889   .0043808    -0.48   0.633     -.010675    .0064972
    incarcerated_rate |    .091314   .2985529     0.31   0.760    -.4938389    .6764669
                      |
                state |
                   2  |  -.1271474   .0424054    -3.00   0.003    -.2102605   -.0440343
                   4  |  -.0922595   .0296973    -3.11   0.002    -.1504652   -.0340538
                   5  |  -.0727016   .0413061    -1.76   0.078      -.15366    .0082569
                   6  |   .0058143   .0324011     0.18   0.858    -.0576908    .0693193
                   8  |  -.1153002   .0540008    -2.14   0.033    -.2211398   -.0094605
                   9  |  -.0432783   .0288537    -1.50   0.134    -.0998306     .013274
                  10  |   .1457898   .0357879     4.07   0.000     .0756468    .2159328
                  11  |  -.2411007   .0306914    -7.86   0.000    -.3012548   -.1809467
                  12  |   .0808159   .0325345     2.48   0.013     .0170494    .1445823
                  13  |    .021402   .0327135     0.65   0.513    -.0427154    .0855193
                  15  |  -.1007395   .0470833    -2.14   0.032     -.193021    -.008458
                  16  |  -.0223262   .0644683    -0.35   0.729    -.1486819    .1040294
                  17  |   .0123137   .0324429     0.38   0.704    -.0512733    .0759006
                  18  |  -.0104327   .0410383    -0.25   0.799    -.0908664     .070001
                  19  |   .0281622    .037359     0.75   0.451    -.0450602    .1013846
                  20  |   .0202494   .0357558     0.57   0.571    -.0498307    .0903296
                  21  |  -.0417965   .0376904    -1.11   0.267    -.1156683    .0320753
                  22  |   .0525579    .041302     1.27   0.203    -.0283924    .1335083
                  23  |  -.0251725   .0575865    -0.44   0.662    -.1380399    .0876949
                  24  |  -.0611703   .0314557    -1.94   0.052    -.1228223    .0004817
                  25  |  -.0196953   .0300267    -0.66   0.512    -.0785465    .0391559
                  26  |  -.0371261   .0311152    -1.19   0.233    -.0981109    .0238586
                  27  |   .0186703   .0369013     0.51   0.613    -.0536549    .0909955
                  28  |   .0597359   .0395135     1.51   0.131    -.0177092     .137181
                  29  |  -.0095332   .0397939    -0.24   0.811     -.087528    .0684615
                  30  |  -.0380706   .0436797    -0.87   0.383    -.1236812    .0475399
                  31  |   .0579696   .0750976     0.77   0.440    -.0892191    .2051583
                  32  |  -.0215985   .0296487    -0.73   0.466    -.0797089    .0365119
                  33  |  -.0173817   .0298938    -0.58   0.561    -.0759725    .0412091
                  34  |  -.0604478   .0518085    -1.17   0.243    -.1619906    .0410951
                  35  |  -.0840508   .0466962    -1.80   0.072    -.1755736     .007472
                  36  |   .0021385   .0307364     0.07   0.945    -.0581036    .0623807
                  37  |  -.0004191   .0373182    -0.01   0.991    -.0735613    .0727231
                  38  |   .0457969   .0540634     0.85   0.397    -.0601655    .1517593
                  39  |  -.0480835   .0387503    -1.24   0.215    -.1240326    .0278656
                  40  |  -.0690461   .0382103    -1.81   0.071    -.1439369    .0058447
                  41  |  -.0364287   .0421934    -0.86   0.388    -.1191264    .0462689
                  42  |  -.0600134   .0369222    -1.63   0.104    -.1323797    .0123529
                  44  |   .0835233   .0287252     2.91   0.004      .027223    .1398237
                  45  |   .0439326   .0472416     0.93   0.352    -.0486593    .1365245
                  46  |   .0869113   .0670886     1.30   0.195    -.0445799    .2184025
                  47  |  -.0306099   .0524709    -0.58   0.560     -.133451    .0722311
                  48  |  -.0282423   .0316331    -0.89   0.372     -.090242    .0337573
                  49  |   .0451205   .0531503     0.85   0.396    -.0590521    .1492931
                  50  |   .1087551   .0670193     1.62   0.105    -.0226004    .2401106
                  51  |  -.0260239   .0370314    -0.70   0.482    -.0986041    .0465562
                  53  |  -.0085112   .0327748    -0.26   0.795    -.0727486    .0557262
                  54  |  -.1563782   .0447686    -3.49   0.000     -.244123   -.0686333
                  55  |  -.0142976   .0454074    -0.31   0.753    -.1032945    .0746993
                  56  |  -.0727818   .0691066    -1.05   0.292    -.2082283    .0626647
                      |
                _cons |  -1.485935    .088468   -16.80   0.000    -1.659329   -1.312541
---------------------------------------------------------------------------------------
(est6 stored)

. 
. eststo: probit donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_
> dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firea
> rm_death_rate incarcerated_rate  i.state i.year, cluster(czone)  

Iteration 0:   log pseudolikelihood = -108057.25  
Iteration 1:   log pseudolikelihood = -104501.22  
Iteration 2:   log pseudolikelihood = -104467.12  
Iteration 3:   log pseudolikelihood =  -104467.1  
Iteration 4:   log pseudolikelihood =  -104467.1  

Probit regression                               Number of obs     =    276,951
                                                Wald chi2(70)     =          .
                                                Prob > chi2       =          .
Log pseudolikelihood =  -104467.1               Pseudo R2         =     0.0332

                                         (Std. Err. adjusted for 726 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0419408   .0044695    -9.38   0.000    -.0507007   -.0331808
      cz_mean_ideo5_3 |   .0298996   .0235943     1.27   0.205    -.0163444    .0761436
             fb_share |  -.1907899   .0727574    -2.62   0.009    -.3333917   -.0481881
                  age |  -.0119005   .0002598   -45.80   0.000    -.0124097   -.0113913
               female |  -.1694448    .008029   -21.10   0.000    -.1851813   -.1537083
              college |   .4334904   .0298788    14.51   0.000     .3749291    .4920517
                   hs |   .2936053   .0301796     9.73   0.000     .2344543    .3527562
          citizen_dum |   .1734373   .0338746     5.12   0.000     .1070443    .2398302
          income_100k |   .1549053   .0100055    15.48   0.000     .1352948    .1745157
           income_50k |   .1431376    .008219    17.42   0.000     .1270287    .1592465
                white |  -.0984703    .017555    -5.61   0.000    -.1328775    -.064063
                black |  -.2642988   .0216371   -12.22   0.000    -.3067067   -.2218909
        race_hispanic |  -.0082961   .0207936    -0.40   0.690    -.0490508    .0324587
                asian |  -.1449024   .0254722    -5.69   0.000     -.194827   -.0949778
nohealthinsurance_dum |  -.1040344   .0128885    -8.07   0.000    -.1292953   -.0787735
            log_blood |   .0087036   .0077936     1.12   0.264    -.0065715    .0239787
L1_firearm_death_rate |  -.0027241   .0039767    -0.69   0.493    -.0105182    .0050701
    incarcerated_rate |   .2030091   .3011328     0.67   0.500    -.3872003    .7932185
                      |
                state |
                   2  |  -.1464605   .0450606    -3.25   0.001    -.2347776   -.0581434
                   4  |  -.1071552   .0308637    -3.47   0.001    -.1676469   -.0466636
                   5  |   -.084234   .0424361    -1.98   0.047    -.1674071   -.0010608
                   6  |  -.0344906   .0358108    -0.96   0.335    -.1046784    .0356973
                   8  |  -.1492488   .0465847    -3.20   0.001    -.2405531   -.0579445
                   9  |  -.0988558   .0310942    -3.18   0.001    -.1597992   -.0379124
                  10  |   .1082059   .0398995     2.71   0.007     .0300043    .1864075
                  11  |  -.2900747   .0324974    -8.93   0.000    -.3537683    -.226381
                  12  |   .0729727   .0336983     2.17   0.030     .0069252    .1390202
                  13  |   .0059791   .0321264     0.19   0.852    -.0569875    .0689456
                  15  |   -.149053   .0570737    -2.61   0.009    -.2609154   -.0371906
                  16  |  -.0261056   .0647114    -0.40   0.687    -.1529376    .1007264
                  17  |  -.0304605     .03515    -0.87   0.386    -.0993533    .0384322
                  18  |  -.0355581   .0417422    -0.85   0.394    -.1173714    .0462551
                  19  |  -.0107604   .0392631    -0.27   0.784    -.0877147    .0661939
                  20  |  -.0133213   .0372861    -0.36   0.721    -.0864007    .0597581
                  21  |  -.0660056   .0392193    -1.68   0.092     -.142874    .0108628
                  22  |   .0491065   .0444414     1.10   0.269     -.037997    .1362101
                  23  |  -.0855579   .0546161    -1.57   0.117    -.1926034    .0214877
                  24  |  -.1091404   .0344208    -3.17   0.002    -.1766039    -.041677
                  25  |  -.0909021    .032074    -2.83   0.005    -.1537661   -.0280382
                  26  |  -.0863848   .0329606    -2.62   0.009    -.1509864   -.0217832
                  27  |  -.0341026   .0405238    -0.84   0.400    -.1135278    .0453227
                  28  |   .0495782   .0392576     1.26   0.207    -.0273652    .1265217
                  29  |  -.0324215   .0381757    -0.85   0.396    -.1072446    .0424015
                  30  |  -.0676205   .0440411    -1.54   0.125    -.1539395    .0186984
                  31  |   .0411564   .0742082     0.55   0.579     -.104289    .1866018
                  32  |  -.0375382   .0333431    -1.13   0.260    -.1028893     .027813
                  33  |  -.0759074   .0341566    -2.22   0.026    -.1428531   -.0089617
                  34  |    -.09402   .0489766    -1.92   0.055    -.1900123    .0019723
                  35  |   -.132158   .0454322    -2.91   0.004    -.2212034   -.0431126
                  36  |   -.042089   .0321578    -1.31   0.191    -.1051171    .0209392
                  37  |  -.0242675    .038687    -0.63   0.530    -.1000927    .0515577
                  38  |   .0251462   .0549406     0.46   0.647    -.0825355    .1328278
                  39  |  -.0881152    .039205    -2.25   0.025    -.1649556   -.0112748
                  40  |  -.0737054   .0402763    -1.83   0.067    -.1526455    .0052347
                  41  |   -.103815   .0431525    -2.41   0.016    -.1883923   -.0192377
                  42  |  -.0929524   .0371841    -2.50   0.012     -.165832   -.0200729
                  44  |   .0204349   .0307368     0.66   0.506    -.0398081     .080678
                  45  |   .0370969   .0546413     0.68   0.497     -.069998    .1441918
                  46  |   .0896772   .0702554     1.28   0.202    -.0480209    .2273753
                  47  |  -.0329741   .0567047    -0.58   0.561    -.1441133    .0781651
                  48  |   -.024541   .0354251    -0.69   0.488    -.0939729    .0448909
                  49  |   .0371181   .0429352     0.86   0.387    -.0470334    .1212696
                  50  |   .0093442    .067154     0.14   0.889    -.1222753    .1409637
                  51  |  -.0599154   .0404859    -1.48   0.139    -.1392663    .0194355
                  53  |  -.0671067   .0345474    -1.94   0.052    -.1348184    .0006049
                  54  |  -.1818533   .0446177    -4.08   0.000    -.2693024   -.0944041
                  55  |  -.0576703    .050353    -1.15   0.252    -.1563605    .0410198
                  56  |  -.0751948   .0670202    -1.12   0.262    -.2065519    .0561624
                      |
                 year |
                2012  |  -.0320455   .0111022    -2.89   0.004    -.0538054   -.0102856
                2014  |  -.0435393   .0105382    -4.13   0.000    -.0641938   -.0228847
                2016  |  -.0782249   .0114876    -6.81   0.000    -.1007402   -.0557097
                2018  |  -.0770916     .01315    -5.86   0.000    -.1028651    -.051318
                2020  |  -.2377004    .013263   -17.92   0.000    -.2636953   -.2117055
                      |
                _cons |  -.8547795   .1023729    -8.35   0.000    -1.055427   -.6541323
---------------------------------------------------------------------------------------
(est7 stored)

. eststo: probit donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs 
> citizen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood 
> L1_firearm_death_rate incarcerated_rate  i.state i.year, cluster(czone)  

Iteration 0:   log pseudolikelihood = -108057.25  
Iteration 1:   log pseudolikelihood = -104492.34  
Iteration 2:   log pseudolikelihood = -104458.25  
Iteration 3:   log pseudolikelihood = -104458.24  
Iteration 4:   log pseudolikelihood = -104458.24  

Probit regression                               Number of obs     =    276,951
                                                Wald chi2(71)     =          .
                                                Prob > chi2       =          .
Log pseudolikelihood = -104458.24               Pseudo R2         =     0.0333

                                         (Std. Err. adjusted for 726 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0408982   .0044846    -9.12   0.000    -.0496879   -.0321085
              ideo5_3 |   .0117844   .0035204     3.35   0.001     .0048845    .0186842
      cz_mean_ideo5_3 |   .0194412   .0232786     0.84   0.404    -.0261842    .0650665
             fb_share |   -.199412   .0720999    -2.77   0.006    -.3407253   -.0580988
                  age |  -.0120249   .0002672   -45.01   0.000    -.0125485   -.0115013
               female |  -.1670031   .0081253   -20.55   0.000    -.1829285   -.1510777
              college |   .4369798   .0298245    14.65   0.000     .3785249    .4954347
                   hs |   .2941101   .0301637     9.75   0.000     .2349902    .3532299
          citizen_dum |     .17236   .0338722     5.09   0.000     .1059717    .2387483
          income_100k |   .1528826   .0099098    15.43   0.000     .1334598    .1723055
           income_50k |   .1418714    .008214    17.27   0.000     .1257723    .1579705
                white |  -.0977644   .0176048    -5.55   0.000    -.1322693   -.0632596
                black |  -.2601897   .0218523   -11.91   0.000    -.3030195     -.21736
        race_hispanic |  -.0065423   .0208684    -0.31   0.754    -.0474435     .034359
                asian |  -.1440348   .0255469    -5.64   0.000    -.1941058   -.0939639
nohealthinsurance_dum |  -.1038686   .0128657    -8.07   0.000    -.1290849   -.0786522
            log_blood |   .0096374   .0077216     1.25   0.212    -.0054967    .0247715
L1_firearm_death_rate |  -.0025335   .0039955    -0.63   0.526    -.0103646    .0052975
    incarcerated_rate |   .2001597   .3015533     0.66   0.507    -.3908739    .7911932
                      |
                state |
                   2  |  -.1445722   .0450311    -3.21   0.001    -.2328315    -.056313
                   4  |  -.1046541   .0307916    -3.40   0.001    -.1650045   -.0443037
                   5  |  -.0826266   .0423743    -1.95   0.051    -.1656787    .0004254
                   6  |  -.0314996     .03576    -0.88   0.378    -.1015879    .0385888
                   8  |  -.1472941   .0465191    -3.17   0.002    -.2384698   -.0561184
                   9  |  -.0959091   .0310428    -3.09   0.002    -.1567518   -.0350664
                  10  |   .1110202   .0399904     2.78   0.006     .0326405    .1893999
                  11  |  -.2852176   .0325035    -8.77   0.000    -.3489233    -.221512
                  12  |     .07524   .0336467     2.24   0.025     .0092936    .1411864
                  13  |   .0066916   .0321122     0.21   0.835    -.0562471    .0696304
                  15  |  -.1457578   .0568934    -2.56   0.010    -.2572667   -.0342488
                  16  |  -.0242788   .0646399    -0.38   0.707    -.1509707    .1024131
                  17  |  -.0291748   .0352534    -0.83   0.408    -.0982702    .0399206
                  18  |  -.0341298   .0417139    -0.82   0.413    -.1158876    .0476279
                  19  |  -.0091143   .0393007    -0.23   0.817    -.0861424    .0679137
                  20  |  -.0112912   .0372432    -0.30   0.762    -.0842866    .0617041
                  21  |  -.0645113   .0392703    -1.64   0.100    -.1414797    .0124571
                  22  |   .0493338   .0444508     1.11   0.267    -.0377882    .1364558
                  23  |  -.0827179   .0545089    -1.52   0.129    -.1895534    .0241175
                  24  |  -.1077574   .0343984    -3.13   0.002    -.1751769   -.0403378
                  25  |  -.0885705   .0320704    -2.76   0.006    -.1514274   -.0257137
                  26  |  -.0847569   .0329579    -2.57   0.010    -.1493532   -.0201606
                  27  |  -.0324321   .0405911    -0.80   0.424    -.1119892    .0471251
                  28  |   .0492454   .0392002     1.26   0.209    -.0275856    .1260764
                  29  |  -.0313444   .0381307    -0.82   0.411    -.1060793    .0433905
                  30  |  -.0654192   .0439508    -1.49   0.137    -.1515612    .0207228
                  31  |   .0427711   .0744089     0.57   0.565    -.1030677    .1886098
                  32  |  -.0340791   .0333285    -1.02   0.307    -.0994018    .0312436
                  33  |  -.0729157   .0341511    -2.14   0.033    -.1398507   -.0059807
                  34  |  -.0918863   .0487526    -1.88   0.059    -.1874396    .0036669
                  35  |  -.1296358   .0455074    -2.85   0.004    -.2188287    -.040443
                  36  |  -.0397927   .0321446    -1.24   0.216    -.1027949    .0232095
                  37  |  -.0228888   .0387408    -0.59   0.555    -.0988195    .0530418
                  38  |   .0265081   .0549055     0.48   0.629    -.0811047    .1341209
                  39  |  -.0864047   .0392167    -2.20   0.028    -.1632682   -.0095413
                  40  |  -.0726801   .0402172    -1.81   0.071    -.1515044    .0061443
                  41  |  -.1004889   .0430332    -2.34   0.020    -.1848324   -.0161454
                  42  |  -.0913099   .0371739    -2.46   0.014    -.1641694   -.0184505
                  44  |   .0237799   .0307265     0.77   0.439     -.036443    .0840027
                  45  |   .0377527   .0546216     0.69   0.489    -.0693037    .1448092
                  46  |    .091533   .0703366     1.30   0.193    -.0463242    .2293902
                  47  |  -.0319783   .0567078    -0.56   0.573    -.1431235    .0791668
                  48  |  -.0232205   .0353457    -0.66   0.511    -.0924968    .0460558
                  49  |   .0383081   .0431012     0.89   0.374    -.0461687     .122785
                  50  |   .0129515   .0671208     0.19   0.847    -.1186028    .1445057
                  51  |  -.0589869   .0405215    -1.46   0.145    -.1384076    .0204338
                  53  |  -.0645703   .0344543    -1.87   0.061    -.1320994    .0029588
                  54  |  -.1794457   .0447397    -4.01   0.000     -.267134   -.0917575
                  55  |  -.0560848   .0500627    -1.12   0.263    -.1542058    .0420362
                  56  |  -.0733463   .0670634    -1.09   0.274    -.2047881    .0580955
                      |
                 year |
                2012  |  -.0318141   .0111079    -2.86   0.004    -.0535852   -.0100429
                2014  |  -.0434423   .0105432    -4.12   0.000    -.0641067   -.0227779
                2016  |  -.0780184   .0114957    -6.79   0.000    -.1005496   -.0554871
                2018  |  -.0769467   .0131503    -5.85   0.000    -.1027208   -.0511726
                2020  |  -.2373424   .0132677   -17.89   0.000    -.2633467   -.2113381
                      |
                _cons |  -.8575625   .1023733    -8.38   0.000     -1.05821   -.6569146
---------------------------------------------------------------------------------------
(est8 stored)

. 
. esttab using "TableA5.tex", label keep(dist_st_ideo5_3 st_mean_ideo5_3 dist_cz_ideo5_3 cz_mean_ideo
> 5_3 ideo5_3 fb_share age female college hs citizen_dum income_100k income_50k nohealthinsurance_dum
>  log_blood L1_firearm_death_rate incarcerated_rate ) order(dist_st_ideo5_3 st_mean_ideo5_3 dist_cz_
> ideo5_3 cz_mean_ideo5_3 ideo5_3 fb_share age female college hs citizen_dum income_100k income_50k n
> ohealthinsurance_dum log_blood L1_firearm_death_rate incarcerated_rate ) nonotes se(3) b(3) replace
>  star(+ 0.10 * 0.05 ** 0.01) compress nogaps nodepvars indicate("State FE = *state*" "Year FE = *ye
> ar*") 
(output written to TableA5.tex)

. 
. * Table A6: Probit Models: Social Diversity and Blood Donation, By Age
. 
. eststo clear

. 
. * Age < 40
. eststo: probit donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_
> dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firea
> rm_death_rate incarcerated_rate  i.state i.year if age < 40, cluster(state)  

Iteration 0:   log pseudolikelihood = -31392.648  
Iteration 1:   log pseudolikelihood = -30892.631  
Iteration 2:   log pseudolikelihood =  -30890.49  
Iteration 3:   log pseudolikelihood = -30890.489  

Probit regression                               Number of obs     =     68,367
                                                Wald chi2(22)     =          .
                                                Prob > chi2       =          .
Log pseudolikelihood = -30890.489               Pseudo R2         =     0.0160

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0321613   .0083148    -3.87   0.000     -.048458   -.0158646
      st_mean_ideo5_3 |  -.1760428   .1228971    -1.43   0.152    -.4169167    .0648311
             fb_share |  -.1155004   .1416317    -0.82   0.415    -.3930933    .1620926
                  age |   -.013716     .00113   -12.14   0.000    -.0159307   -.0115012
               female |  -.1176715   .0125441    -9.38   0.000    -.1422574   -.0930856
              college |   .3635179   .0424597     8.56   0.000     .2802985    .4467373
                   hs |    .313582   .0398898     7.86   0.000     .2353994    .3917646
          citizen_dum |   .1723178   .0369114     4.67   0.000     .0999727    .2446629
          income_100k |   .0445027   .0177672     2.50   0.012     .0096796    .0793258
           income_50k |   .0896169   .0198059     4.52   0.000      .050798    .1284358
                white |  -.0418772   .0271325    -1.54   0.123    -.0950558    .0113015
                black |  -.1193546   .0347429    -3.44   0.001    -.1874493   -.0512598
        race_hispanic |   .0806852   .0302792     2.66   0.008      .021339    .1400313
                asian |  -.0200079   .0336532    -0.59   0.552    -.0859669    .0459512
nohealthinsurance_dum |  -.1898951   .0188568   -10.07   0.000    -.2268536   -.1529365
            log_blood |   -.003231   .0079334    -0.41   0.684    -.0187802    .0123182
L1_firearm_death_rate |  -.0158662   .0101845    -1.56   0.119    -.0358274    .0040949
    incarcerated_rate |   .1793333   .5335201     0.34   0.737     -.866347    1.225014
                      |
                state |
                   2  |  -.1480426    .015024    -9.85   0.000    -.1774891    -.118596
                   4  |  -.0511061   .0177832    -2.87   0.004    -.0859606   -.0162517
                   5  |    .005711   .0109828     0.52   0.603    -.0158149    .0272368
                   6  |  -.0845584   .0526958    -1.60   0.109    -.1878402    .0187234
                   8  |  -.2005812   .0309684    -6.48   0.000    -.2612781   -.1398844
                   9  |  -.1709194   .0459472    -3.72   0.000    -.2609743   -.0808644
                  10  |  -.0313815   .0376588    -0.83   0.405    -.1051913    .0424284
                  11  |  -.3647357   .1108172    -3.29   0.001    -.5819335   -.1475379
                  12  |   .0769542   .0255787     3.01   0.003      .026821    .1270875
                  13  |   .0384669   .0197488     1.95   0.051    -.0002401    .0771738
                  15  |  -.0200285   .0486853    -0.41   0.681    -.1154499    .0753929
                  16  |  -.0126556   .0139229    -0.91   0.363    -.0399441    .0146329
                  17  |  -.0867286    .045351    -1.91   0.056     -.175615    .0021577
                  18  |  -.0393002   .0180301    -2.18   0.029    -.0746385   -.0039618
                  19  |  -.0489736   .0282794    -1.73   0.083    -.1044002    .0064529
                  20  |   .0182706   .0200042     0.91   0.361     -.020937    .0574781
                  21  |  -.0180924   .0177801    -1.02   0.309    -.0529409     .016756
                  22  |   .0176045   .0095859     1.84   0.066    -.0011835    .0363925
                  23  |  -.1965076   .0377712    -5.20   0.000    -.2705379   -.1224774
                  24  |  -.2180769   .0466862    -4.67   0.000    -.3095801   -.1265736
                  25  |  -.1927368   .0647893    -2.97   0.003    -.3197215    -.065752
                  26  |  -.1816255   .0362653    -5.01   0.000    -.2527042   -.1105467
                  27  |  -.1048361   .0454623    -2.31   0.021    -.1939406   -.0157316
                  28  |    .162543   .0068428    23.75   0.000     .1491313    .1759546
                  29  |  -.0579684   .0185017    -3.13   0.002    -.0942312   -.0217057
                  30  |  -.1669817   .0172816    -9.66   0.000     -.200853   -.1331103
                  31  |  -.0640649   .0167809    -3.82   0.000    -.0969548    -.031175
                  32  |   .0172283   .0323986     0.53   0.595    -.0462718    .0807284
                  33  |   -.246259   .0405942    -6.07   0.000    -.3258221   -.1666958
                  34  |  -.1339614   .0453844    -2.95   0.003    -.2229132   -.0450096
                  35  |  -.0525451   .0345182    -1.52   0.128    -.1201995    .0151093
                  36  |  -.1466451   .0542057    -2.71   0.007    -.2528863   -.0404039
                  37  |  -.0425456   .0215891    -1.97   0.049    -.0848594   -.0002318
                  38  |  -.0097201   .0138721    -0.70   0.483    -.0369089    .0174687
                  39  |  -.1136351   .0287191    -3.96   0.000    -.1699235   -.0573466
                  40  |  -.0836708   .0061444   -13.62   0.000    -.0957137   -.0716279
                  41  |  -.2608606   .0553925    -4.71   0.000     -.369428   -.1522932
                  42  |  -.1407405   .0287532    -4.89   0.000    -.1970958   -.0843852
                  44  |   .0041828   .0627148     0.07   0.947    -.1187359    .1271016
                  45  |    .055116   .0099023     5.57   0.000     .0357078    .0745242
                  46  |   .3013688   .0138025    21.83   0.000     .2743164    .3284212
                  47  |   .0494719   .0099323     4.98   0.000      .030005    .0689388
                  48  |   .0229786   .0162764     1.41   0.158    -.0089225    .0548797
                  49  |  -.0273937   .0124724    -2.20   0.028     -.051839   -.0029483
                  50  |   .0151112   .0767606     0.20   0.844    -.1353368    .1655592
                  51  |  -.1585249   .0297446    -5.33   0.000    -.2168233   -.1002265
                  53  |  -.2174727   .0495672    -4.39   0.000    -.3146226   -.1203227
                  54  |  -.2462461   .0130109   -18.93   0.000     -.271747   -.2207451
                  55  |  -.1145457   .0291284    -3.93   0.000    -.1716363    -.057455
                  56  |  -.3273326   .0165236   -19.81   0.000    -.3597184   -.2949469
                      |
                 year |
                2012  |  -.0663571   .0295451    -2.25   0.025    -.1242644   -.0084497
                2014  |  -.0391471    .034373    -1.14   0.255    -.1065169    .0282227
                2016  |  -.0940675   .0448682    -2.10   0.036    -.1820076   -.0061274
                2018  |  -.1147161   .0463034    -2.48   0.013     -.205469   -.0239631
                2020  |  -.3194084   .0534952    -5.97   0.000     -.424257   -.2145597
                      |
                _cons |  -.1753151   .4528049    -0.39   0.699    -1.062796    .7121661
---------------------------------------------------------------------------------------
(est1 stored)

. eststo: probit donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs 
> citizen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood 
> L1_firearm_death_rate incarcerated_rate  i.state i.year if age < 40, cluster(state)  

Iteration 0:   log pseudolikelihood = -31392.648  
Iteration 1:   log pseudolikelihood = -30887.151  
Iteration 2:   log pseudolikelihood = -30884.944  
Iteration 3:   log pseudolikelihood = -30884.943  

Probit regression                               Number of obs     =     68,367
                                                Wald chi2(23)     =          .
                                                Prob > chi2       =          .
Log pseudolikelihood = -30884.943               Pseudo R2         =     0.0162

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0406042    .008475    -4.79   0.000    -.0572149   -.0239934
              ideo5_3 |  -.0179596   .0055416    -3.24   0.001     -.028821   -.0070983
      st_mean_ideo5_3 |  -.1582743   .1227677    -1.29   0.197    -.3988946    .0823459
             fb_share |  -.1158382   .1422576    -0.81   0.415     -.394658    .1629816
                  age |  -.0135226   .0011257   -12.01   0.000    -.0157288   -.0113163
               female |  -.1196778   .0124837    -9.59   0.000    -.1441454   -.0952103
              college |   .3596139   .0426227     8.44   0.000      .276075    .4431527
                   hs |   .3126503   .0400322     7.81   0.000     .2341887    .3911118
          citizen_dum |   .1724953   .0368823     4.68   0.000     .1002072    .2447834
          income_100k |   .0461282   .0177867     2.59   0.010      .011267    .0809895
           income_50k |   .0906962   .0197241     4.60   0.000     .0520377    .1293546
                white |  -.0393719   .0271018    -1.45   0.146    -.0924905    .0137467
                black |  -.1201838    .034819    -3.45   0.001    -.1884277   -.0519398
        race_hispanic |   .0807956   .0304246     2.66   0.008     .0211646    .1404267
                asian |  -.0193725   .0338027    -0.57   0.567    -.0856246    .0468795
nohealthinsurance_dum |  -.1904022   .0189401   -10.05   0.000    -.2275241   -.1532803
            log_blood |  -.0053789   .0081203    -0.66   0.508    -.0212944    .0105367
L1_firearm_death_rate |  -.0162689   .0101931    -1.60   0.110     -.036247    .0037092
    incarcerated_rate |   .1988939   .5331126     0.37   0.709    -.8459876    1.243775
                      |
                state |
                   2  |  -.1470015   .0151104    -9.73   0.000    -.1766174   -.1173857
                   4  |  -.0534635   .0177342    -3.01   0.003    -.0882219   -.0187052
                   5  |   .0035311   .0109192     0.32   0.746    -.0178701    .0249323
                   6  |  -.0839693   .0524523    -1.60   0.109    -.1867739    .0188352
                   8  |  -.2027851   .0309014    -6.56   0.000    -.2633507   -.1422195
                   9  |  -.1734392   .0458659    -3.78   0.000    -.2633347   -.0835438
                  10  |  -.0322424   .0376354    -0.86   0.392    -.1060065    .0415216
                  11  |  -.3607405   .1105367    -3.26   0.001    -.5773885   -.1440924
                  12  |   .0764182   .0254891     3.00   0.003     .0264605    .1263759
                  13  |   .0377356   .0197163     1.91   0.056    -.0009076    .0763787
                  15  |  -.0194398   .0485649    -0.40   0.689    -.1146253    .0757457
                  16  |  -.0149418    .013805    -1.08   0.279    -.0419991    .0121155
                  17  |  -.0858636    .045265    -1.90   0.058    -.1745814    .0028542
                  18  |   -.041279    .018035    -2.29   0.022    -.0766269   -.0059311
                  19  |  -.0513103   .0282608    -1.82   0.069    -.1067004    .0040798
                  20  |   .0154263   .0199582     0.77   0.440     -.023691    .0545437
                  21  |  -.0216048    .017737    -1.22   0.223    -.0563686    .0131591
                  22  |   .0155143   .0094082     1.65   0.099    -.0029254    .0339541
                  23  |  -.2013914    .037796    -5.33   0.000    -.2754702   -.1273126
                  24  |   -.218341   .0465724    -4.69   0.000    -.3096212   -.1270608
                  25  |  -.1935052   .0646379    -2.99   0.003    -.3201932   -.0668173
                  26  |  -.1835047   .0362592    -5.06   0.000    -.2545714    -.112438
                  27  |  -.1046366   .0454407    -2.30   0.021    -.1936987   -.0155744
                  28  |   .1610942   .0070287    22.92   0.000     .1473181    .1748702
                  29  |  -.0590307   .0184943    -3.19   0.001    -.0952788   -.0227825
                  30  |  -.1714823   .0173233    -9.90   0.000    -.2054353   -.1375294
                  31  |  -.0659828   .0166916    -3.95   0.000    -.0986978   -.0332679
                  32  |   .0160557   .0322969     0.50   0.619    -.0472452    .0793565
                  33  |  -.2501058   .0406496    -6.15   0.000    -.3297776   -.1704339
                  34  |  -.1337694   .0452374    -2.96   0.003    -.2224331   -.0451057
                  35  |  -.0545846   .0345257    -1.58   0.114    -.1222537    .0130845
                  36  |  -.1459476   .0540374    -2.70   0.007    -.2518589   -.0400362
                  37  |  -.0443871   .0215539    -2.06   0.039     -.086632   -.0021422
                  38  |  -.0104205   .0138784    -0.75   0.453    -.0376217    .0167806
                  39  |  -.1163758   .0287183    -4.05   0.000    -.1726626    -.060089
                  40  |  -.0852256   .0061599   -13.84   0.000    -.0972987   -.0731525
                  41  |  -.2627938   .0553588    -4.75   0.000    -.3712951   -.1542924
                  42  |  -.1426366   .0287237    -4.97   0.000    -.1989341   -.0863391
                  44  |   .0029354   .0626117     0.05   0.963    -.1197813     .125652
                  45  |   .0527035   .0098238     5.36   0.000     .0334493    .0719577
                  46  |   .3020145   .0138388    21.82   0.000      .274891    .3291381
                  47  |   .0488521    .009935     4.92   0.000     .0293799    .0683243
                  48  |   .0226024   .0163103     1.39   0.166    -.0093651      .05457
                  49  |  -.0272609   .0124884    -2.18   0.029    -.0517377   -.0027841
                  50  |   .0117644   .0767933     0.15   0.878    -.1387478    .1622766
                  51  |  -.1591959   .0296541    -5.37   0.000    -.2173169   -.1010748
                  53  |   -.218698   .0494593    -4.42   0.000    -.3156365   -.1217595
                  54  |  -.2500325   .0129982   -19.24   0.000    -.2755085   -.2245564
                  55  |  -.1161926    .029112    -3.99   0.000    -.1732512   -.0591341
                  56  |  -.3292006   .0162739   -20.23   0.000    -.3610969   -.2973044
                      |
                 year |
                2012  |  -.0663197   .0295976    -2.24   0.025    -.1243299   -.0083095
                2014  |  -.0384055   .0342264    -1.12   0.262     -.105488    .0286769
                2016  |  -.0935105   .0448609    -2.08   0.037    -.1814362   -.0055848
                2018  |   -.114646   .0462485    -2.48   0.013    -.2052914   -.0240005
                2020  |  -.3199777    .053525    -5.98   0.000    -.4248847   -.2150707
                      |
                _cons |  -.1736226   .4526686    -0.38   0.701    -1.060837    .7135916
---------------------------------------------------------------------------------------
(est2 stored)

. 
. eststo: probit donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_
> dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firea
> rm_death_rate incarcerated_rate  i.state i.year if age < 40, cluster(czone)  

Iteration 0:   log pseudolikelihood = -31392.648  
Iteration 1:   log pseudolikelihood = -30893.071  
Iteration 2:   log pseudolikelihood =  -30890.93  
Iteration 3:   log pseudolikelihood =  -30890.93  

Probit regression                               Number of obs     =     68,367
                                                Wald chi2(70)     =          .
                                                Prob > chi2       =          .
Log pseudolikelihood =  -30890.93               Pseudo R2         =     0.0160

                                         (Std. Err. adjusted for 679 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0331276   .0076742    -4.32   0.000    -.0481688   -.0180864
      cz_mean_ideo5_3 |   .0244344   .0390737     0.63   0.532    -.0521487    .1010176
             fb_share |  -.0970707   .1179012    -0.82   0.410    -.3281528    .1340113
                  age |  -.0137279   .0009678   -14.19   0.000    -.0156247   -.0118312
               female |   -.117886   .0136525    -8.63   0.000    -.1446445   -.0911275
              college |   .3634424   .0487312     7.46   0.000     .2679311    .4589538
                   hs |    .313319   .0476773     6.57   0.000     .2198733    .4067648
          citizen_dum |   .1719644   .0403071     4.27   0.000     .0929638    .2509649
          income_100k |   .0446286   .0167711     2.66   0.008     .0117578    .0774993
           income_50k |    .089627   .0125253     7.16   0.000     .0650779    .1141761
                white |   -.042336   .0250527    -1.69   0.091    -.0914383    .0067663
                black |  -.1193454   .0352432    -3.39   0.001    -.1884208     -.05027
        race_hispanic |   .0803876   .0273973     2.93   0.003     .0266898    .1340853
                asian |  -.0202208   .0337755    -0.60   0.549    -.0864195    .0459779
nohealthinsurance_dum |  -.1900198   .0200639    -9.47   0.000    -.2293444   -.1506953
            log_blood |  -.0025028    .009661    -0.26   0.796     -.021438    .0164324
L1_firearm_death_rate |  -.0158766    .009887    -1.61   0.108    -.0352548    .0035016
    incarcerated_rate |   .1587567   .4995427     0.32   0.751    -.8203289    1.137842
                      |
                state |
                   2  |  -.1313648   .1478773    -0.89   0.374    -.4211991    .1584694
                   4  |  -.0286814   .0779807    -0.37   0.713    -.1815208     .124158
                   5  |   .0093773   .0936491     0.10   0.920    -.1741716    .1929262
                   6  |  -.0017539   .0825041    -0.02   0.983    -.1634589    .1599512
                   8  |  -.1526142    .089348    -1.71   0.088    -.3277332    .0225047
                   9  |  -.0973819   .0769544    -1.27   0.206    -.2482097    .0534459
                  10  |   .0261735   .1198429     0.22   0.827    -.2087143    .2610613
                  11  |  -.1903938   .0787858    -2.42   0.016    -.3448111   -.0359765
                  12  |   .1118341   .0804369     1.39   0.164    -.0458193    .2694875
                  13  |   .0647657   .0774854     0.84   0.403    -.0871029    .2166343
                  15  |   .0547148   .1073511     0.51   0.610    -.1556896    .2651191
                  16  |  -.0241282   .0950067    -0.25   0.800    -.2103379    .1620815
                  17  |  -.0150082   .0832284    -0.18   0.857    -.1781328    .1481164
                  18  |  -.0119678   .0985057    -0.12   0.903    -.2050354    .1810997
                  19  |  -.0068794   .0981436    -0.07   0.944    -.1992373    .1854786
                  20  |   .0454661   .0842778     0.54   0.590    -.1197154    .2106476
                  21  |   .0047125   .0840783     0.06   0.955    -.1600779    .1695029
                  22  |   .0111545   .0835639     0.13   0.894    -.1526277    .1749367
                  23  |  -.1371597   .0892137    -1.54   0.124    -.3120152    .0376959
                  24  |  -.1432789   .0866125    -1.65   0.098    -.3130363    .0264784
                  25  |  -.0877114   .0785388    -1.12   0.264    -.2416447    .0662219
                  26  |  -.1252012   .0812851    -1.54   0.123    -.2845172    .0341147
                  27  |  -.0337233   .0826206    -0.41   0.683    -.1956568    .1282102
                  28  |    .160435   .0899348     1.78   0.074    -.0158339    .3367039
                  29  |   -.033627   .0781151    -0.43   0.667    -.1867298    .1194757
                  30  |  -.1460393   .1098468    -1.33   0.184     -.361335    .0692563
                  31  |  -.0458172   .0848992    -0.54   0.589    -.2122165    .1205821
                  32  |   .0635246    .084889     0.75   0.454    -.1028548    .2299039
                  33  |  -.1816848   .0985263    -1.84   0.065    -.3747928    .0114233
                  34  |  -.0632503   .0802931    -0.79   0.431    -.2206218    .0941212
                  35  |   .0037591   .0889985     0.04   0.966    -.1706748     .178193
                  36  |  -.0596079   .0812944    -0.73   0.463     -.218942    .0997262
                  37  |  -.0101054   .0826625    -0.12   0.903     -.172121    .1519101
                  38  |   .0027174   .1390391     0.02   0.984    -.2697942    .2752291
                  39  |  -.0700074   .0917218    -0.76   0.445    -.2497789     .109764
                  40  |  -.0820297   .0974039    -0.84   0.400    -.2729379    .1088784
                  41  |  -.1710767   .0854028    -2.00   0.045     -.338463   -.0036903
                  42  |  -.0980093    .079278    -1.24   0.216    -.2533914    .0573729
                  44  |   .1034989   .0772888     1.34   0.181    -.0479844    .2549821
                  45  |   .0591213   .1110123     0.53   0.594    -.1584588    .2767014
                  46  |   .2851971   .0989815     2.88   0.004      .091197    .4791973
                  47  |    .052473   .0828485     0.63   0.526    -.1099071    .2148532
                  48  |   .0388775   .0797511     0.49   0.626    -.1174317    .1951868
                  49  |  -.0215046   .0987915    -0.22   0.828    -.2151323    .1721231
                  50  |   .1366394    .260545     0.52   0.600    -.3740193    .6472981
                  51  |   -.109299   .0808285    -1.35   0.176    -.2677199     .049122
                  53  |  -.1374281   .0789501    -1.74   0.082    -.2921674    .0173112
                  54  |  -.2369306   .0933534    -2.54   0.011    -.4198999   -.0539613
                  55  |  -.0674071   .0873561    -0.77   0.440    -.2386218    .1038077
                  56  |  -.3489057   .1674523    -2.08   0.037    -.6771061   -.0207053
                      |
                 year |
                2012  |  -.0416791   .0246854    -1.69   0.091    -.0900615    .0067034
                2014  |   -.000628    .023286    -0.03   0.978    -.0462678    .0450118
                2016  |  -.0398545   .0236387    -1.69   0.092    -.0861855    .0064765
                2018  |  -.0597554   .0212642    -2.81   0.005    -.1014324   -.0180783
                2020  |  -.2499655   .0230284   -10.85   0.000    -.2951003   -.2048307
                      |
                _cons |  -.8817382   .1784313    -4.94   0.000    -1.231457   -.5320193
---------------------------------------------------------------------------------------
(est3 stored)

. eststo: probit donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs 
> citizen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood 
> L1_firearm_death_rate incarcerated_rate  i.state i.year if age < 40, cluster(czone)  

Iteration 0:   log pseudolikelihood = -31392.648  
Iteration 1:   log pseudolikelihood = -30887.095  
Iteration 2:   log pseudolikelihood = -30884.883  
Iteration 3:   log pseudolikelihood = -30884.883  

Probit regression                               Number of obs     =     68,367
                                                Wald chi2(71)     =          .
                                                Prob > chi2       =          .
Log pseudolikelihood = -30884.883               Pseudo R2         =     0.0162

                                         (Std. Err. adjusted for 679 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0419451   .0080776    -5.19   0.000    -.0577769   -.0261134
              ideo5_3 |  -.0189012   .0055466    -3.41   0.001    -.0297724     -.00803
      cz_mean_ideo5_3 |   .0427396   .0389021     1.10   0.272    -.0335071    .1189862
             fb_share |  -.0802019   .1178041    -0.68   0.496    -.3110938    .1506899
                  age |    -.01353   .0009664   -14.00   0.000     -.015424    -.011636
               female |  -.1200743   .0136934    -8.77   0.000    -.1469129   -.0932356
              college |   .3595007   .0487708     7.37   0.000     .2639117    .4550897
                   hs |   .3122706   .0476387     6.55   0.000     .2189006    .4056406
          citizen_dum |   .1719993   .0402969     4.27   0.000     .0930187    .2509798
          income_100k |   .0465179   .0167395     2.78   0.005     .0137091    .0793266
           income_50k |   .0908563   .0125347     7.25   0.000     .0662888    .1154238
                white |  -.0398732    .025035    -1.59   0.111    -.0889409    .0091946
                black |  -.1201865   .0352723    -3.41   0.001    -.1893189   -.0510541
        race_hispanic |   .0802627   .0274928     2.92   0.004     .0263778    .1341476
                asian |  -.0194942   .0338577    -0.58   0.565     -.085854    .0468657
nohealthinsurance_dum |  -.1906086   .0201208    -9.47   0.000    -.2300447   -.1511725
            log_blood |  -.0041412   .0096768    -0.43   0.669    -.0231074     .014825
L1_firearm_death_rate |  -.0162955   .0098566    -1.65   0.098    -.0356141    .0030231
    incarcerated_rate |   .1663759   .4995549     0.33   0.739    -.8127337    1.145486
                      |
                state |
                   2  |  -.1302082   .1475335    -0.88   0.377    -.4193685    .1589522
                   4  |  -.0324076   .0777341    -0.42   0.677    -.1847635    .1199484
                   5  |    .007335   .0937276     0.08   0.938    -.1763678    .1910377
                   6  |  -.0055885   .0823137    -0.07   0.946    -.1669205    .1557435
                   8  |  -.1559908   .0892347    -1.75   0.080    -.3308877     .018906
                   9  |  -.1017836   .0766988    -1.33   0.184    -.2521104    .0485432
                  10  |   .0233788   .1204174     0.19   0.846    -.2126351    .2593926
                  11  |  -.1968785   .0785301    -2.51   0.012    -.3507946   -.0429624
                  12  |   .1084871    .080204     1.35   0.176    -.0487099    .2656841
                  13  |   .0628725    .077261     0.81   0.416    -.0885562    .2143013
                  15  |   .0520185   .1073108     0.48   0.628    -.1583068    .2623438
                  16  |  -.0260015   .0955262    -0.27   0.785    -.2132295    .1612265
                  17  |  -.0163928   .0830168    -0.20   0.843    -.1791028    .1463172
                  18  |  -.0138921   .0982647    -0.14   0.888    -.2064874    .1787033
                  19  |  -.0093796   .0978387    -0.10   0.924      -.20114    .1823807
                  20  |   .0425559   .0838202     0.51   0.612    -.1217287    .2068406
                  21  |    .001796    .083747     0.02   0.983     -.162345    .1659371
                  22  |   .0088555    .083193     0.11   0.915    -.1541998    .1719109
                  23  |  -.1415839   .0893615    -1.58   0.113    -.3167293    .0335615
                  24  |  -.1454783   .0863864    -1.68   0.092    -.3147925     .023836
                  25  |  -.0911063   .0782942    -1.16   0.245    -.2445602    .0623476
                  26  |  -.1274329   .0810431    -1.57   0.116    -.2862745    .0314087
                  27  |   -.034505    .082432    -0.42   0.676    -.1960687    .1270588
                  28  |   .1595665   .0897271     1.78   0.075    -.0162954    .3354284
                  29  |  -.0349007   .0779028    -0.45   0.654    -.1875873    .1177859
                  30  |  -.1499437   .1094451    -1.37   0.171     -.364452    .0645647
                  31  |  -.0482837   .0846233    -0.57   0.568    -.2141423     .117575
                  32  |    .059116   .0845766     0.70   0.485    -.1066511     .224883
                  33  |  -.1856181   .0982258    -1.89   0.059    -.3781372    .0069009
                  34  |  -.0665382   .0800788    -0.83   0.406    -.2234898    .0904135
                  35  |   .0010554   .0887632     0.01   0.991    -.1729173    .1750281
                  36  |   -.062431   .0811295    -0.77   0.442     -.221442      .09658
                  37  |  -.0124198   .0823859    -0.15   0.880    -.1738932    .1490537
                  38  |   .0031718   .1388189     0.02   0.982    -.2689082    .2752518
                  39  |  -.0728848   .0914982    -0.80   0.426     -.252218    .1064483
                  40  |  -.0835965   .0975851    -0.86   0.392    -.2748598    .1076668
                  41  |  -.1743329   .0853314    -2.04   0.041    -.3415794   -.0070864
                  42  |  -.1003589   .0791016    -1.27   0.205    -.2553951    .0546773
                  44  |   .0987073   .0770219     1.28   0.200    -.0522528    .2496674
                  45  |   .0572012   .1111107     0.51   0.607    -.1605718    .2749743
                  46  |   .2857009   .0991816     2.88   0.004     .0913086    .4800933
                  47  |   .0518834   .0828648     0.63   0.531    -.1105285    .2142953
                  48  |   .0363165   .0794994     0.46   0.648    -.1194994    .1921324
                  49  |  -.0221207    .098557    -0.22   0.822    -.2152889    .1710476
                  50  |   .1320289   .2604294     0.51   0.612    -.3784033    .6424611
                  51  |  -.1107043   .0806691    -1.37   0.170    -.2688128    .0474042
                  53  |  -.1404421   .0787466    -1.78   0.075    -.2947825    .0138984
                  54  |  -.2394793   .0931554    -2.57   0.010    -.4220606    -.056898
                  55  |  -.0686847   .0873927    -0.79   0.432    -.2399712    .1026019
                  56  |  -.3510912    .168284    -2.09   0.037    -.6809217   -.0212607
                      |
                 year |
                2012  |  -.0416006   .0247458    -1.68   0.093    -.0901014    .0069002
                2014  |    .000083   .0232934     0.00   0.997    -.0455712    .0457373
                2016  |  -.0395045   .0236111    -1.67   0.094    -.0857814    .0067724
                2018  |  -.0598413   .0212402    -2.82   0.005    -.1014713   -.0182113
                2020  |  -.2506941   .0230567   -10.87   0.000    -.2958844   -.2055038
                      |
                _cons |  -.8797301   .1782851    -4.93   0.000    -1.229162   -.5302977
---------------------------------------------------------------------------------------
(est4 stored)

.         
. * Age >= 40
. eststo: probit donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_
> dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firea
> rm_death_rate incarcerated_rate  i.state i.year if age >= 40, cluster(state)  

Iteration 0:   log pseudolikelihood = -76059.034  
Iteration 1:   log pseudolikelihood = -73271.073  
Iteration 2:   log pseudolikelihood = -73237.059  
Iteration 3:   log pseudolikelihood = -73237.033  
Iteration 4:   log pseudolikelihood = -73237.033  

Probit regression                               Number of obs     =    208,584
                                                Wald chi2(22)     =          .
                                                Prob > chi2       =          .
Log pseudolikelihood = -73237.033               Pseudo R2         =     0.0371

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0456865   .0060727    -7.52   0.000    -.0575887   -.0337843
      st_mean_ideo5_3 |   .0837518   .0820276     1.02   0.307    -.0770192    .2445229
             fb_share |  -.2444752   .0684033    -3.57   0.000    -.3785433   -.1104071
                  age |  -.0161539   .0006334   -25.50   0.000    -.0173955   -.0149124
               female |  -.1824833   .0092523   -19.72   0.000    -.2006175   -.1643491
              college |   .4596387   .0365734    12.57   0.000     .3879562    .5313213
                   hs |   .2799139   .0338712     8.26   0.000     .2135275    .3463002
          citizen_dum |   .1710009   .0401242     4.26   0.000     .0923589     .249643
          income_100k |   .1797671    .013907    12.93   0.000     .1525098    .2070244
           income_50k |   .1671789   .0119349    14.01   0.000     .1437869    .1905709
                white |  -.1133104   .0193011    -5.87   0.000    -.1511398   -.0754809
                black |  -.3466305   .0254479   -13.62   0.000    -.3965074   -.2967535
        race_hispanic |  -.0695807   .0300857    -2.31   0.021    -.1285475   -.0106139
                asian |  -.2207971   .0379925    -5.81   0.000     -.295261   -.1463333
nohealthinsurance_dum |  -.0738688   .0179573    -4.11   0.000    -.1090644   -.0386732
            log_blood |   .0154173   .0102459     1.50   0.132    -.0046643    .0354988
L1_firearm_death_rate |   .0026493   .0049326     0.54   0.591    -.0070184     .012317
    incarcerated_rate |   .2690838   .4513575     0.60   0.551    -.6155607    1.153728
                      |
                state |
                   2  |  -.1465682   .0107309   -13.66   0.000    -.1676004    -.125536
                   4  |  -.1215074    .011832   -10.27   0.000    -.1446977   -.0983171
                   5  |  -.1141602   .0075531   -15.11   0.000     -.128964   -.0993564
                   6  |  -.0148776   .0375345    -0.40   0.692    -.0884439    .0586888
                   8  |  -.1325462   .0211766    -6.26   0.000    -.1740516   -.0910409
                   9  |   -.075826   .0325039    -2.33   0.020    -.1395326   -.0121194
                  10  |   .1507717   .0252009     5.98   0.000     .1013789    .2001646
                  11  |  -.2381658   .0822111    -2.90   0.004    -.3992966   -.0770349
                  12  |   .0765983   .0168479     4.55   0.000     .0435769    .1096196
                  13  |  -.0121756    .013021    -0.94   0.350    -.0376963     .013345
                  15  |  -.1972416   .0367877    -5.36   0.000    -.2693442   -.1251389
                  16  |  -.0282855   .0102418    -2.76   0.006    -.0483591   -.0082119
                  17  |  -.0127937   .0327063    -0.39   0.696    -.0768968    .0513094
                  18  |  -.0375301   .0117636    -3.19   0.001    -.0605864   -.0144738
                  19  |     .00233   .0175135     0.13   0.894    -.0319958    .0366558
                  20  |  -.0239193   .0133153    -1.80   0.072    -.0500169    .0021782
                  21  |  -.0898349   .0105364    -8.53   0.000    -.1104858   -.0691839
                  22  |   .0599528   .0050572    11.85   0.000     .0500409    .0698648
                  23  |  -.0617879   .0258664    -2.39   0.017    -.1124852   -.0110907
                  24  |  -.0662876    .033855    -1.96   0.050    -.1326423    .0000671
                  25  |   -.054647   .0454284    -1.20   0.229    -.1436851    .0343911
                  26  |  -.0527307   .0237789    -2.22   0.027    -.0993366   -.0061248
                  27  |  -.0103758   .0308929    -0.34   0.737    -.0709247    .0501731
                  28  |   .0033904    .005505     0.62   0.538    -.0073992      .01418
                  29  |  -.0234354   .0121313    -1.93   0.053    -.0472123    .0003415
                  30  |  -.0402722   .0119292    -3.38   0.001     -.063653   -.0168914
                  31  |   .0828403   .0093396     8.87   0.000     .0645351    .1011456
                  32  |  -.0517512   .0209963    -2.46   0.014    -.0929032   -.0105993
                  33  |  -.0321311   .0256651    -1.25   0.211    -.0824338    .0181717
                  34  |  -.0804135   .0322202    -2.50   0.013    -.1435639   -.0172631
                  35  |  -.1543827   .0248569    -6.21   0.000    -.2031012   -.1056641
                  36  |   .0069275   .0385225     0.18   0.857    -.0685751    .0824302
                  37  |  -.0205535   .0149317    -1.38   0.169    -.0498192    .0087122
                  38  |   .0556394   .0110651     5.03   0.000     .0339522    .0773267
                  39  |  -.0836782   .0189035    -4.43   0.000    -.1207283    -.046628
                  40  |  -.0733631   .0036756   -19.96   0.000    -.0805671   -.0661591
                  41  |  -.0491049   .0368697    -1.33   0.183    -.1213681    .0231583
                  42  |  -.0754303   .0191011    -3.95   0.000    -.1128678   -.0379928
                  44  |   .0246905   .0433145     0.57   0.569    -.0602044    .1095853
                  45  |   .0287915    .005778     4.98   0.000     .0174668    .0401163
                  46  |   .0165771   .0086462     1.92   0.055    -.0003691    .0335233
                  47  |  -.0670796   .0057921   -11.58   0.000    -.0784318   -.0557273
                  48  |  -.0433108   .0098936    -4.38   0.000    -.0627019   -.0239197
                  49  |   .0886292   .0088165    10.05   0.000     .0713491    .1059092
                  50  |   -.000863    .052265    -0.02   0.987    -.1033005    .1015746
                  51  |  -.0207708   .0212271    -0.98   0.328    -.0623752    .0208336
                  53  |  -.0186578   .0344536    -0.54   0.588    -.0861856      .04887
                  54  |  -.1674116   .0101005   -16.57   0.000    -.1872082    -.147615
                  55  |  -.0412815   .0193759    -2.13   0.033    -.0792575   -.0033056
                  56  |  -.0111302   .0123496    -0.90   0.367    -.0353349    .0130745
                      |
                 year |
                2012  |   -.018281   .0155715    -1.17   0.240    -.0488005    .0122386
                2014  |  -.0371752    .022011    -1.69   0.091    -.0803159    .0059656
                2016  |  -.0591876   .0279169    -2.12   0.034    -.1139038   -.0044715
                2018  |  -.0461904   .0308227    -1.50   0.134    -.1066017     .014221
                2020  |  -.1909134   .0355139    -5.38   0.000    -.2605193   -.1213074
                      |
                _cons |  -.7775794   .2903772    -2.68   0.007    -1.346708   -.2084506
---------------------------------------------------------------------------------------
(est5 stored)

. eststo: probit donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs 
> citizen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood 
> L1_firearm_death_rate incarcerated_rate  i.state i.year if age >= 40, cluster(state)  

Iteration 0:   log pseudolikelihood = -76059.034  
Iteration 1:   log pseudolikelihood = -73249.402  
Iteration 2:   log pseudolikelihood = -73215.321  
Iteration 3:   log pseudolikelihood = -73215.295  
Iteration 4:   log pseudolikelihood = -73215.295  

Probit regression                               Number of obs     =    208,584
                                                Wald chi2(23)     =          .
                                                Prob > chi2       =          .
Log pseudolikelihood = -73215.295               Pseudo R2         =     0.0374

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0473075    .006114    -7.74   0.000    -.0592906   -.0353243
              ideo5_3 |   .0218444   .0033983     6.43   0.000     .0151838    .0285049
      st_mean_ideo5_3 |   .0645396   .0811877     0.79   0.427    -.0945853    .2236645
             fb_share |  -.2378176    .067559    -3.52   0.000    -.3702308   -.1054045
                  age |  -.0163267   .0006386   -25.57   0.000    -.0175784    -.015075
               female |  -.1772094   .0093558   -18.94   0.000    -.1955464   -.1588724
              college |   .4673354   .0368523    12.68   0.000     .3951062    .5395647
                   hs |    .280863   .0340117     8.26   0.000     .2142012    .3475248
          citizen_dum |   .1654475   .0397475     4.16   0.000     .0875438    .2433511
          income_100k |   .1757531   .0139424    12.61   0.000     .1484266    .2030796
           income_50k |   .1646727    .011936    13.80   0.000     .1412785    .1880669
                white |  -.1101301   .0194506    -5.66   0.000    -.1482525   -.0720076
                black |  -.3354716   .0257664   -13.02   0.000    -.3859729   -.2849703
        race_hispanic |  -.0652439   .0296595    -2.20   0.028    -.1233754   -.0071125
                asian |   -.218915   .0379138    -5.77   0.000    -.2932246   -.1446054
nohealthinsurance_dum |  -.0737685   .0179637    -4.11   0.000    -.1089768   -.0385602
            log_blood |   .0177376   .0102922     1.72   0.085    -.0024347    .0379099
L1_firearm_death_rate |   .0029103   .0049687     0.59   0.558    -.0068281    .0126488
    incarcerated_rate |   .2536836   .4513444     0.56   0.574    -.6309352    1.138302
                      |
                state |
                   2  |  -.1418174    .010843   -13.08   0.000    -.1630693   -.1205655
                   4  |  -.1184322   .0118564    -9.99   0.000    -.1416704   -.0951941
                   5  |  -.1113779   .0076622   -14.54   0.000    -.1263955   -.0963603
                   6  |   -.014219   .0374248    -0.38   0.704    -.0875703    .0591323
                   8  |  -.1306702   .0212018    -6.16   0.000    -.1722249   -.0891155
                   9  |  -.0727417   .0324407    -2.24   0.025    -.1363243   -.0091591
                  10  |   .1543364   .0252712     6.11   0.000     .1048057    .2038671
                  11  |  -.2423828   .0819825    -2.96   0.003    -.4030655      -.0817
                  12  |   .0772877   .0168569     4.58   0.000     .0442489    .1103266
                  13  |  -.0128433   .0129823    -0.99   0.323    -.0382881    .0126015
                  15  |  -.1931709   .0367992    -5.25   0.000    -.2652959   -.1210458
                  16  |  -.0239358   .0103114    -2.32   0.020    -.0441457   -.0037258
                  17  |   -.013266    .032687    -0.41   0.685    -.0773315    .0507994
                  18  |  -.0348791   .0118283    -2.95   0.003    -.0580622    -.011696
                  19  |   .0054063    .017556     0.31   0.758    -.0290027    .0398153
                  20  |  -.0201994   .0134029    -1.51   0.132    -.0464686    .0060697
                  21  |  -.0871777   .0106216    -8.21   0.000    -.1079956   -.0663597
                  22  |   .0597693   .0050965    11.73   0.000     .0497802    .0697583
                  23  |  -.0563211   .0259456    -2.17   0.030    -.1071736   -.0054687
                  24  |   -.066604   .0337621    -1.97   0.049    -.1327764   -.0004315
                  25  |   -.053371   .0453249    -1.18   0.239    -.1422061    .0354641
                  26  |  -.0501585   .0237748    -2.11   0.035    -.0967562   -.0035607
                  27  |  -.0079997   .0308924    -0.26   0.796    -.0685476    .0525482
                  28  |   .0028272   .0055387     0.51   0.610    -.0080285    .0136829
                  29  |  -.0214504   .0121936    -1.76   0.079    -.0453494    .0024486
                  30  |  -.0355296   .0121267    -2.93   0.003    -.0592975   -.0117617
                  31  |   .0850474   .0094053     9.04   0.000     .0666134    .1034814
                  32  |  -.0487411   .0209721    -2.32   0.020    -.0898456   -.0076366
                  33  |  -.0263607   .0257424    -1.02   0.306    -.0768148    .0240935
                  34  |    -.08046   .0321598    -2.50   0.012    -.1434921    -.017428
                  35  |  -.1503803   .0249089    -6.04   0.000    -.1992009   -.1015597
                  36  |   .0071138    .038444     0.19   0.853    -.0682351    .0824626
                  37  |  -.0190027   .0149366    -1.27   0.203    -.0482778    .0102724
                  38  |   .0605707    .011262     5.38   0.000     .0384975    .0826439
                  39  |  -.0809478    .018936    -4.27   0.000    -.1180617   -.0438339
                  40  |  -.0718504   .0036203   -19.85   0.000    -.0789459   -.0647548
                  41  |  -.0440082   .0368948    -1.19   0.233    -.1163207    .0283043
                  42  |  -.0733577   .0191333    -3.83   0.000    -.1108582   -.0358573
                  44  |   .0271787   .0432567     0.63   0.530    -.0576028    .1119603
                  45  |     .03007   .0058248     5.16   0.000     .0186537    .0414863
                  46  |   .0213931   .0087526     2.44   0.015     .0042382    .0385479
                  47  |  -.0650364   .0059191   -10.99   0.000    -.0766377   -.0534351
                  48  |  -.0440821   .0099354    -4.44   0.000    -.0635551   -.0246092
                  49  |     .09158    .008876    10.32   0.000     .0741834    .1089766
                  50  |   .0057735   .0522767     0.11   0.912    -.0966869    .1082339
                  51  |  -.0204558   .0211384    -0.97   0.333    -.0618864    .0209748
                  53  |  -.0157213   .0344327    -0.46   0.648    -.0832081    .0517655
                  54  |  -.1611081   .0104127   -15.47   0.000    -.1815166   -.1406996
                  55  |  -.0381553   .0193897    -1.97   0.049    -.0761585   -.0001521
                  56  |  -.0064557    .012425    -0.52   0.603    -.0308083    .0178969
                      |
                 year |
                2012  |  -.0179384   .0155325    -1.15   0.248    -.0483816    .0125048
                2014  |   -.036871   .0219282    -1.68   0.093    -.0798494    .0061075
                2016  |  -.0592219   .0278245    -2.13   0.033    -.1137569   -.0046869
                2018  |  -.0464921   .0307303    -1.51   0.130    -.1067224    .0137382
                2020  |  -.1910775   .0353308    -5.41   0.000    -.2603246   -.1218305
                      |
                _cons |  -.7841055   .2897151    -2.71   0.007    -1.351937   -.2162743
---------------------------------------------------------------------------------------
(est6 stored)

. 
. eststo: probit donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_
> dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firea
> rm_death_rate incarcerated_rate  i.state i.year if age >= 40, cluster(czone)  

Iteration 0:   log pseudolikelihood = -76059.034  
Iteration 1:   log pseudolikelihood = -73272.619  
Iteration 2:   log pseudolikelihood =  -73238.64  
Iteration 3:   log pseudolikelihood = -73238.615  
Iteration 4:   log pseudolikelihood = -73238.615  

Probit regression                               Number of obs     =    208,584
                                                Wald chi2(70)     =          .
                                                Prob > chi2       =          .
Log pseudolikelihood = -73238.615               Pseudo R2         =     0.0371

                                         (Std. Err. adjusted for 722 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0448017   .0056896    -7.87   0.000    -.0559531   -.0336503
      cz_mean_ideo5_3 |   .0285719   .0255927     1.12   0.264    -.0215888    .0787326
             fb_share |  -.2041554   .0829996    -2.46   0.014    -.3668317   -.0414791
                  age |  -.0161644   .0004524   -35.73   0.000    -.0170512   -.0152777
               female |  -.1824452   .0094239   -19.36   0.000    -.2009157   -.1639747
              college |    .459551   .0364159    12.62   0.000     .3881771    .5309249
                   hs |    .279718   .0363419     7.70   0.000     .2084891    .3509469
          citizen_dum |   .1714853   .0437626     3.92   0.000     .0857121    .2572584
          income_100k |    .179989   .0134223    13.41   0.000     .1536818    .2062963
           income_50k |    .167198   .0114697    14.58   0.000     .1447179    .1896781
                white |  -.1131255   .0203307    -5.56   0.000    -.1529729    -.073278
                black |  -.3461449   .0254553   -13.60   0.000    -.3960364   -.2962535
        race_hispanic |  -.0694089   .0269482    -2.58   0.010    -.1222264   -.0165914
                asian |  -.2200546   .0419824    -5.24   0.000    -.3023386   -.1377706
nohealthinsurance_dum |  -.0738827   .0158948    -4.65   0.000    -.1050359   -.0427296
            log_blood |   .0168854   .0086942     1.94   0.052    -.0001549    .0339256
L1_firearm_death_rate |   .0026694   .0039536     0.68   0.500    -.0050795    .0104182
    incarcerated_rate |   .2432399    .363351     0.67   0.503    -.4689151    .9553948
                      |
                state |
                   2  |  -.1537643    .071014    -2.17   0.030    -.2929492   -.0145794
                   4  |  -.1309601   .0304688    -4.30   0.000    -.1906779   -.0712424
                   5  |  -.1168265   .0494894    -2.36   0.018     -.213824    -.019829
                   6  |  -.0488631   .0353247    -1.38   0.167    -.1180982     .020372
                   8  |  -.1489864   .0446937    -3.33   0.001    -.2365844   -.0613884
                   9  |  -.1003957   .0302983    -3.31   0.001    -.1597793   -.0410121
                  10  |   .1309684   .0305325     4.29   0.000     .0711257     .190811
                  11  |  -.3129021   .0321846    -9.72   0.000    -.3759827   -.2498215
                  12  |   .0597013   .0364744     1.64   0.102    -.0117872    .1311897
                  13  |  -.0241089   .0329269    -0.73   0.464    -.0886444    .0404266
                  15  |  -.2243458   .0525629    -4.27   0.000    -.3273672   -.1213244
                  16  |  -.0251107   .0777266    -0.32   0.747    -.1774521    .1272306
                  17  |  -.0385293   .0341819    -1.13   0.260    -.1055245     .028466
                  18  |  -.0452422   .0403851    -1.12   0.263    -.1243955    .0339112
                  19  |  -.0089475   .0393369    -0.23   0.820    -.0860465    .0681515
                  20  |  -.0329099    .046164    -0.71   0.476    -.1233896    .0575698
                  21  |   -.096495   .0425724    -2.27   0.023    -.1799354   -.0130545
                  22  |   .0608477   .0580041     1.05   0.294    -.0528383    .1745337
                  23  |  -.0765481   .0558355    -1.37   0.170    -.1859836    .0328874
                  24  |  -.0923158   .0342503    -2.70   0.007    -.1594452   -.0251865
                  25  |  -.0896461   .0314128    -2.85   0.004    -.1512141   -.0280782
                  26  |  -.0686258   .0329284    -2.08   0.037    -.1331644   -.0040872
                  27  |  -.0331871   .0448136    -0.74   0.459    -.1210202    .0546459
                  28  |   .0045218   .0439065     0.10   0.918    -.0815333     .090577
                  29  |  -.0318167   .0464498    -0.68   0.493    -.1228567    .0592233
                  30  |  -.0465092   .0526917    -0.88   0.377     -.149783    .0567647
                  31  |   .0749044   .0897058     0.84   0.404    -.1009157    .2507246
                  32  |   -.071688   .0378232    -1.90   0.058      -.14582    .0024441
                  33  |  -.0471075   .0385921    -1.22   0.222    -.1227466    .0285316
                  34  |  -.1080915   .0552407    -1.96   0.050    -.2163613    .0001783
                  35  |  -.1724137   .0485875    -3.55   0.000    -.2676433    -.077184
                  36  |  -.0257692   .0326573    -0.79   0.430    -.0897763    .0382378
                  37  |  -.0317174   .0433012    -0.73   0.464    -.1165861    .0531514
                  38  |   .0489851   .0710446     0.69   0.491    -.0902598    .1882299
                  39  |  -.0957623   .0401252    -2.39   0.017    -.1744062   -.0171184
                  40  |  -.0739945   .0567987    -1.30   0.193    -.1853179     .037329
                  41  |  -.0783112   .0475596    -1.65   0.100    -.1715262    .0149039
                  42  |  -.0884594   .0377274    -2.34   0.019    -.1624036   -.0145151
                  44  |   -.010689   .0298803    -0.36   0.721    -.0692533    .0478754
                  45  |   .0279574   .0482768     0.58   0.563    -.0666635    .1225782
                  46  |   .0183386   .0962109     0.19   0.849    -.1702313    .2069085
                  47  |  -.0691834   .0657395    -1.05   0.293    -.1980304    .0596635
                  48  |  -.0551056   .0369913    -1.49   0.136    -.1276072    .0173959
                  49  |   .0833448   .0355429     2.34   0.019      .013682    .1530075
                  50  |  -.0375022   .0914915    -0.41   0.682    -.2168222    .1418178
                  51  |  -.0359064   .0443374    -0.81   0.418    -.1228061    .0509934
                  53  |  -.0445901   .0350335    -1.27   0.203    -.1132545    .0240742
                  54  |  -.1691201   .0525596    -3.22   0.001     -.272135   -.0661051
                  55  |  -.0541067   .0533473    -1.01   0.310    -.1586656    .0504521
                  56  |  -.0078902   .0742826    -0.11   0.915    -.1534815    .1377012
                      |
                 year |
                2012  |  -.0243925   .0111893    -2.18   0.029    -.0463232   -.0024619
                2014  |  -.0472915   .0117898    -4.01   0.000     -.070399    -.024184
                2016  |  -.0737873   .0136776    -5.39   0.000    -.1005948   -.0469797
                2018  |  -.0610581   .0151204    -4.04   0.000    -.0906935   -.0314228
                2020  |  -.2092792   .0150446   -13.91   0.000     -.238766   -.1797924
                      |
                _cons |  -.5875959    .114769    -5.12   0.000     -.812539   -.3626527
---------------------------------------------------------------------------------------
(est7 stored)

. eststo: probit donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs 
> citizen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood 
> L1_firearm_death_rate incarcerated_rate  i.state i.year if age >= 40, cluster(czone)  

Iteration 0:   log pseudolikelihood = -76059.034  
Iteration 1:   log pseudolikelihood = -73251.885  
Iteration 2:   log pseudolikelihood = -73217.847  
Iteration 3:   log pseudolikelihood = -73217.822  
Iteration 4:   log pseudolikelihood = -73217.822  

Probit regression                               Number of obs     =    208,584
                                                Wald chi2(71)     =          .
                                                Prob > chi2       =          .
Log pseudolikelihood = -73217.822               Pseudo R2         =     0.0374

                                         (Std. Err. adjusted for 722 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0464285   .0056462    -8.22   0.000    -.0574948   -.0353622
              ideo5_3 |   .0215464   .0042223     5.10   0.000     .0132709    .0298219
      cz_mean_ideo5_3 |    .009796    .025322     0.39   0.699    -.0398343    .0594263
             fb_share |  -.2182398   .0815954    -2.67   0.007    -.3781639   -.0583157
                  age |  -.0163324   .0004543   -35.95   0.000    -.0172229   -.0154419
               female |   -.177299   .0094607   -18.74   0.000    -.1958417   -.1587563
              college |   .4667703   .0363782    12.83   0.000     .3954703    .5380702
                   hs |   .2805179   .0362891     7.73   0.000     .2093925    .3516433
          citizen_dum |   .1660651   .0437594     3.79   0.000     .0802983    .2518318
          income_100k |   .1758814    .013221    13.30   0.000     .1499688    .2017941
           income_50k |   .1646625   .0114093    14.43   0.000     .1423008    .1870243
                white |  -.1100869   .0204468    -5.38   0.000    -.1501618   -.0700119
                black |  -.3355684   .0258664   -12.97   0.000    -.3862656   -.2848712
        race_hispanic |  -.0651495   .0270489    -2.41   0.016    -.1181644   -.0121346
                asian |  -.2183072   .0420168    -5.20   0.000    -.3006586   -.1359558
nohealthinsurance_dum |  -.0737587   .0158771    -4.65   0.000    -.1048773   -.0426402
            log_blood |   .0184492   .0085875     2.15   0.032     .0016179    .0352804
L1_firearm_death_rate |   .0029247   .0039519     0.74   0.459    -.0048208    .0106703
    incarcerated_rate |   .2388203   .3641972     0.66   0.512     -.474993    .9526336
                      |
                state |
                   2  |  -.1487031   .0709038    -2.10   0.036     -.287672   -.0097342
                   4  |  -.1262089   .0301963    -4.18   0.000    -.1853926   -.0670252
                   5  |  -.1140002   .0493273    -2.31   0.021      -.21068   -.0173204
                   6  |  -.0430511   .0349806    -1.23   0.218    -.1116119    .0255097
                   8  |  -.1455679   .0444361    -3.28   0.001     -.232661   -.0584748
                   9  |  -.0952029   .0299792    -3.18   0.001    -.1539611   -.0364447
                  10  |   .1366077   .0305883     4.47   0.000     .0766556    .1965597
                  11  |  -.3041296   .0320576    -9.49   0.000    -.3669613   -.2412979
                  12  |   .0638598   .0362542     1.76   0.078    -.0071971    .1349168
                  13  |  -.0231672   .0326344    -0.71   0.478    -.0871294    .0407951
                  15  |  -.2173331   .0522946    -4.16   0.000    -.3198285   -.1148376
                  16  |  -.0214686   .0778897    -0.28   0.783    -.1741296    .1311925
                  17  |  -.0360182    .034015    -1.06   0.290    -.1026863      .03065
                  18  |  -.0426119   .0401745    -1.06   0.289    -.1213525    .0361286
                  19  |  -.0058482   .0390693    -0.15   0.881    -.0824226    .0707263
                  20  |  -.0290869   .0459671    -0.63   0.527    -.1191807    .0610069
                  21  |  -.0940427   .0424405    -2.22   0.027    -.1772246   -.0108609
                  22  |   .0606952   .0580162     1.05   0.295    -.0530144    .1744048
                  23  |  -.0715232   .0555676    -1.29   0.198    -.1804338    .0373874
                  24  |  -.0899612   .0341348    -2.64   0.008    -.1568641   -.0230583
                  25  |  -.0855622   .0311461    -2.75   0.006    -.1466075   -.0245169
                  26  |  -.0656415   .0326454    -2.01   0.044    -.1296254   -.0016577
                  27  |  -.0294189   .0447764    -0.66   0.511    -.1171791    .0583413
                  28  |   .0031994   .0435927     0.07   0.941    -.0822407    .0886396
                  29  |  -.0296613    .046029    -0.64   0.519    -.1198765    .0605538
                  30  |  -.0426447    .052456    -0.81   0.416    -.1454565    .0601672
                  31  |   .0778824   .0902761     0.86   0.388    -.0990556    .2548204
                  32  |  -.0650789   .0377711    -1.72   0.085     -.139109    .0089511
                  33  |   -.041887   .0384058    -1.09   0.275     -.117161    .0333869
                  34  |  -.1042814   .0547398    -1.91   0.057    -.2115695    .0030067
                  35  |  -.1674525    .048616    -3.44   0.001     -.262738    -.072167
                  36  |  -.0214902   .0323713    -0.66   0.507    -.0849369    .0419564
                  37  |  -.0291974   .0431533    -0.68   0.499    -.1137764    .0553815
                  38  |   .0527257   .0709224     0.74   0.457    -.0862797    .1917311
                  39  |  -.0929006   .0399455    -2.33   0.020    -.1711924   -.0146088
                  40  |  -.0720442   .0562828    -1.28   0.201    -.1823566    .0382681
                  41  |  -.0714663   .0470559    -1.52   0.129    -.1636941    .0207616
                  42  |  -.0855702    .037557    -2.28   0.023    -.1591806   -.0119598
                  44  |  -.0045068   .0296465    -0.15   0.879    -.0626128    .0535992
                  45  |   .0288662   .0481177     0.60   0.549    -.0654427    .1231752
                  46  |   .0225605   .0968294     0.23   0.816    -.1672215    .2123426
                  47  |  -.0669411   .0658732    -1.02   0.310    -.1960501     .062168
                  48  |  -.0528936   .0366591    -1.44   0.149     -.124744    .0189568
                  49  |   .0868175   .0351748     2.47   0.014     .0178761    .1557589
                  50  |  -.0301415   .0903289    -0.33   0.739    -.2071829       .1469
                  51  |  -.0344252   .0441972    -0.78   0.436    -.1210501    .0521998
                  53  |  -.0396797   .0346303    -1.15   0.252    -.1075539    .0281945
                  54  |  -.1640377   .0527682    -3.11   0.002    -.2674615   -.0606139
                  55  |   -.050848    .052685    -0.97   0.334    -.1541087    .0524126
                  56  |  -.0042503   .0740372    -0.06   0.954    -.1493606      .14086
                      |
                 year |
                2012  |  -.0240466   .0111998    -2.15   0.032    -.0459978   -.0020954
                2014  |  -.0468932   .0117992    -3.97   0.000    -.0700193   -.0237671
                2016  |  -.0736027   .0136926    -5.38   0.000    -.1004398   -.0467656
                2018  |  -.0611917   .0151354    -4.04   0.000    -.0908565   -.0315269
                2020  |  -.2092897   .0150349   -13.92   0.000    -.2387575   -.1798219
                      |
                _cons |  -.5928681   .1143432    -5.18   0.000    -.8169768   -.3687595
---------------------------------------------------------------------------------------
(est8 stored)

.         
. esttab using "TableA6.tex", label keep(dist_st_ideo5_3 st_mean_ideo5_3 dist_cz_ideo5_3 cz_mean_ideo
> 5_3 ideo5_3 fb_share age female college hs citizen_dum income_100k income_50k nohealthinsurance_dum
>  log_blood L1_firearm_death_rate incarcerated_rate ) order(dist_st_ideo5_3 st_mean_ideo5_3 dist_cz_
> ideo5_3 cz_mean_ideo5_3 ideo5_3 fb_share age female college hs citizen_dum income_100k income_50k n
> ohealthinsurance_dum log_blood L1_firearm_death_rate incarcerated_rate ) nonotes se(3) b(3) replace
>  star(+ 0.10 * 0.05 ** 0.01) compress nogaps nodepvars indicate("State FE = *state*" "Year FE = *ye
> ar*") 
(output written to TableA6.tex)

. 
. * Table A7: Interaction Effects of Social Diversity and Age: CES Survey
. 
. gen dist_st_ideo5_3_age = dist_st_ideo5_3*age
(49,376 missing values generated)

. label var dist_st_ideo5_3_age "Ideological distance*Age"

. 
. gen dist_cz_ideo5_3_age = dist_cz_ideo5_3*age
(49,376 missing values generated)

. label var dist_cz_ideo5_3_age "Ideological distance*Age"

. 
. eststo clear

. 
. eststo: reg donate_blood dist_st_ideo5_3 dist_st_ideo5_3_age st_mean_ideo5_3 fb_share age female co
> llege hs citizen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum l
> og_blood L1_firearm_death_rate incarcerated_rate  i.state i.year, cluster(state)  

Linear regression                               Number of obs     =    276,951
                                                F(23, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0249
                                                Root MSE          =     .33429

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0104793    .003376    -3.10   0.003    -.0172601   -.0036984
  dist_st_ideo5_3_age |    .000031   .0000575     0.54   0.592    -.0000845    .0001465
      st_mean_ideo5_3 |   .0071541   .0146655     0.49   0.628    -.0223025    .0366107
             fb_share |   -.043079   .0150718    -2.86   0.006    -.0733515   -.0128064
                  age |   -.002444   .0001254   -19.49   0.000    -.0026958   -.0021921
               female |  -.0341758    .001706   -20.03   0.000    -.0376025   -.0307491
              college |   .0726486   .0039445    18.42   0.000     .0647257    .0805714
                   hs |   .0435528   .0039052    11.15   0.000     .0357091    .0513966
          citizen_dum |   .0372773   .0059606     6.25   0.000      .025305    .0492496
          income_100k |   .0296661   .0021532    13.78   0.000     .0253413    .0339909
           income_50k |    .027254   .0022275    12.24   0.000     .0227799     .031728
                white |  -.0222009   .0039687    -5.59   0.000    -.0301724   -.0142294
                black |  -.0539299   .0044722   -12.06   0.000    -.0629127   -.0449471
        race_hispanic |  -.0011382   .0047809    -0.24   0.813     -.010741    .0084647
                asian |  -.0311721   .0058174    -5.36   0.000    -.0428566   -.0194876
nohealthinsurance_dum |  -.0242076   .0030079    -8.05   0.000    -.0302492   -.0181661
            log_blood |   .0017485   .0015518     1.13   0.265    -.0013684    .0048654
L1_firearm_death_rate |  -.0006272   .0008352    -0.75   0.456    -.0023049    .0010504
    incarcerated_rate |   .0438099   .0548418     0.80   0.428     -.066343    .1539628
                      |
                state |
                   2  |  -.0299449   .0016948   -17.67   0.000    -.0333491   -.0265407
                   4  |  -.0207591   .0020973    -9.90   0.000    -.0249717   -.0165466
                   5  |  -.0158523   .0013344   -11.88   0.000    -.0185325   -.0131721
                   6  |  -.0051424   .0064392    -0.80   0.428     -.018076    .0077912
                   8  |  -.0291583   .0036432    -8.00   0.000    -.0364759   -.0218407
                   9  |  -.0187786   .0055663    -3.37   0.001    -.0299588   -.0075984
                  10  |   .0246798   .0043955     5.61   0.000     .0158512    .0335085
                  11  |  -.0493381   .0138628    -3.56   0.001    -.0771824   -.0214938
                  12  |   .0165435   .0029079     5.69   0.000     .0107029    .0223842
                  13  |   .0026795   .0022448     1.19   0.238    -.0018293    .0071884
                  15  |  -.0272082   .0063005    -4.32   0.000    -.0398632   -.0145533
                  16  |  -.0062811   .0017915    -3.51   0.001    -.0098794   -.0026829
                  17  |  -.0044333    .005608    -0.79   0.433    -.0156974    .0068307
                  18  |  -.0065296   .0021293    -3.07   0.003    -.0108064   -.0022528
                  19  |  -.0009066   .0032136    -0.28   0.779    -.0073612     .005548
                  20  |  -.0018473   .0023446    -0.79   0.434    -.0065566     .002862
                  21  |  -.0131928   .0019467    -6.78   0.000    -.0171029   -.0092827
                  22  |   .0111727   .0008596    13.00   0.000     .0094461    .0128993
                  23  |  -.0174553   .0046012    -3.79   0.000     -.026697   -.0082135
                  24  |  -.0210667   .0057086    -3.69   0.001    -.0325327   -.0096006
                  25  |  -.0165765   .0078533    -2.11   0.040    -.0323503   -.0008028
                  26  |  -.0170692   .0042298    -4.04   0.000    -.0255651   -.0085734
                  27  |  -.0055839   .0053871    -1.04   0.305    -.0164042    .0052363
                  28  |   .0105676   .0007834    13.49   0.000     .0089941    .0121411
                  29  |  -.0059799   .0021233    -2.82   0.007    -.0102447    -.001715
                  30  |  -.0139996   .0021339    -6.56   0.000    -.0182857   -.0097135
                  31  |   .0113362   .0017075     6.64   0.000     .0079066    .0147658
                  32  |  -.0062925    .003756    -1.68   0.100    -.0138367    .0012516
                  33  |    -.01492   .0046342    -3.22   0.002     -.024228    -.005612
                  34  |  -.0180165   .0054505    -3.31   0.002    -.0289642   -.0070688
                  35  |  -.0265388   .0043022    -6.17   0.000      -.03518   -.0178977
                  36  |  -.0068273   .0066451    -1.03   0.309    -.0201744    .0065198
                  37  |  -.0044571   .0025974    -1.72   0.092    -.0096742      .00076
                  38  |   .0066278   .0018368     3.61   0.001     .0029384    .0103173
                  39  |  -.0171261   .0033921    -5.05   0.000    -.0239394   -.0103129
                  40  |  -.0140291   .0006603   -21.25   0.000    -.0153554   -.0127028
                  41  |  -.0198124    .006571    -3.02   0.004    -.0330107   -.0066142
                  42  |  -.0181509   .0032926    -5.51   0.000    -.0247643   -.0115375
                  44  |   .0072178   .0075192     0.96   0.342     -.007885    .0223206
                  45  |    .007593   .0010582     7.18   0.000     .0054675    .0097185
                  46  |   .0221132   .0015747    14.04   0.000     .0189503    .0252761
                  47  |  -.0062281   .0010312    -6.04   0.000    -.0082993   -.0041569
                  48  |  -.0033416   .0018665    -1.79   0.079    -.0070906    .0004074
                  49  |   .0122623   .0015401     7.96   0.000      .009169    .0153557
                  50  |   .0032559   .0092611     0.35   0.727    -.0153455    .0218573
                  51  |  -.0115496   .0035908    -3.22   0.002    -.0187619   -.0043374
                  53  |  -.0132178   .0059674    -2.21   0.031    -.0252037   -.0012318
                  54  |  -.0342362   .0016992   -20.15   0.000     -.037649   -.0308233
                  55  |  -.0111629   .0034297    -3.25   0.002    -.0180516   -.0042742
                  56  |   -.015817   .0021153    -7.48   0.000    -.0200657   -.0115684
                      |
                 year |
                2012  |  -.0072706   .0031259    -2.33   0.024    -.0135492    -.000992
                2014  |  -.0088289   .0040629    -2.17   0.035    -.0169894   -.0006684
                2016  |  -.0157841   .0054521    -2.90   0.006    -.0267349   -.0048333
                2018  |  -.0152778   .0058756    -2.60   0.012    -.0270794   -.0034763
                2020  |  -.0456863   .0065491    -6.98   0.000    -.0588404   -.0325321
                      |
                _cons |   .2070818   .0532782     3.89   0.000     .1000694    .3140941
---------------------------------------------------------------------------------------
(est1 stored)

. eststo: reg donate_blood dist_st_ideo5_3 ideo5_3 dist_st_ideo5_3_age st_mean_ideo5_3 fb_share age f
> emale college hs citizen_dum income_100k income_50k white black race_hispanic asian nohealthinsuran
> ce_dum log_blood L1_firearm_death_rate incarcerated_rate  i.state i.year, cluster(state)  

Linear regression                               Number of obs     =    276,951
                                                F(24, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0250
                                                Root MSE          =     .33428

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0078518   .0032379    -2.42   0.019    -.0143554   -.0013482
              ideo5_3 |   .0028196   .0006304     4.47   0.000     .0015535    .0040857
  dist_st_ideo5_3_age |  -.0000163   .0000555    -0.29   0.770    -.0001279    .0000952
      st_mean_ideo5_3 |   .0045847   .0145736     0.31   0.754    -.0246872    .0338566
             fb_share |  -.0423796   .0149955    -2.83   0.007    -.0724989   -.0122603
                  age |  -.0024286   .0001248   -19.46   0.000    -.0026793   -.0021779
               female |  -.0336339   .0017295   -19.45   0.000    -.0371077     -.03016
              college |   .0736343   .0039959    18.43   0.000     .0656083    .0816603
                   hs |   .0437144   .0039255    11.14   0.000     .0358299     .051599
          citizen_dum |   .0369526   .0059551     6.21   0.000     .0249914    .0489138
          income_100k |   .0292098   .0021678    13.47   0.000     .0248555     .033564
           income_50k |   .0269849    .002225    12.13   0.000     .0225159     .031454
                white |  -.0220407   .0039893    -5.52   0.000    -.0300535   -.0140279
                black |  -.0528387    .004513   -11.71   0.000    -.0619034   -.0437741
        race_hispanic |  -.0007181   .0047392    -0.15   0.880    -.0102372    .0088009
                asian |   -.030957   .0058118    -5.33   0.000    -.0426304   -.0192837
nohealthinsurance_dum |   -.024192   .0030023    -8.06   0.000    -.0302224   -.0181617
            log_blood |    .002058   .0015606     1.32   0.193    -.0010766    .0051927
L1_firearm_death_rate |  -.0005975   .0008369    -0.71   0.479    -.0022783    .0010834
    incarcerated_rate |   .0415715   .0547911     0.76   0.452    -.0684796    .1516227
                      |
                state |
                   2  |  -.0295026   .0017164   -17.19   0.000    -.0329501   -.0260551
                   4  |  -.0203655   .0021147    -9.63   0.000     -.024613   -.0161181
                   5  |  -.0154769   .0013471   -11.49   0.000    -.0181826   -.0127712
                   6  |  -.0050797   .0064464    -0.79   0.434    -.0180277    .0078682
                   8  |  -.0289287   .0036553    -7.91   0.000    -.0362705   -.0215869
                   9  |  -.0183804   .0055797    -3.29   0.002    -.0295876   -.0071732
                  10  |   .0250014   .0044086     5.67   0.000     .0161464    .0338564
                  11  |   -.049972   .0138566    -3.61   0.001    -.0778038   -.0221403
                  12  |   .0166404   .0029183     5.70   0.000     .0107789    .0225019
                  13  |   .0026582   .0022484     1.18   0.243    -.0018579    .0071744
                  15  |  -.0267199   .0063233    -4.23   0.000    -.0394206   -.0140193
                  16  |  -.0057339   .0018023    -3.18   0.003    -.0093539   -.0021139
                  17  |   -.004544   .0056155    -0.81   0.422     -.015823     .006735
                  18  |  -.0062131   .0021403    -2.90   0.005     -.010512   -.0019142
                  19  |  -.0004624   .0032253    -0.14   0.887    -.0069407    .0060159
                  20  |  -.0014003   .0023604    -0.59   0.556    -.0061413    .0033408
                  21  |   -.012816   .0019582    -6.54   0.000    -.0167492   -.0088829
                  22  |   .0112352    .000861    13.05   0.000     .0095059    .0129645
                  23  |  -.0167554   .0046223    -3.62   0.001    -.0260396   -.0074712
                  24  |  -.0211036   .0057137    -3.69   0.001    -.0325798   -.0096274
                  25  |  -.0164114   .0078622    -2.09   0.042    -.0322032   -.0006197
                  26  |  -.0167207   .0042391    -3.94   0.000    -.0252351   -.0082062
                  27  |  -.0053613   .0053942    -0.99   0.325    -.0161958    .0054732
                  28  |   .0106673   .0007864    13.57   0.000     .0090879    .0122468
                  29  |  -.0057417   .0021329    -2.69   0.010    -.0100258   -.0014576
                  30  |  -.0132985   .0021681    -6.13   0.000    -.0176532   -.0089438
                  31  |   .0116408   .0017174     6.78   0.000     .0081913    .0150904
                  32  |  -.0059437   .0037707    -1.58   0.121    -.0135174      .00163
                  33  |  -.0142171    .004657    -3.05   0.004    -.0235709   -.0048632
                  34  |  -.0180565   .0054589    -3.31   0.002    -.0290211   -.0070919
                  35  |  -.0260347   .0043239    -6.02   0.000    -.0347196   -.0173498
                  36  |   -.006861   .0066529    -1.03   0.307    -.0202237    .0065017
                  37  |  -.0042633   .0026053    -1.64   0.108    -.0094962    .0009695
                  38  |   .0072285   .0018644     3.88   0.000     .0034837    .0109733
                  39  |  -.0167772   .0034011    -4.93   0.000    -.0236086   -.0099459
                  40  |  -.0137744   .0006617   -20.82   0.000    -.0151036   -.0124453
                  41  |  -.0192711   .0065868    -2.93   0.005     -.032501   -.0060412
                  42  |  -.0179004   .0033015    -5.42   0.000    -.0245317   -.0112691
                  44  |   .0075092   .0075305     1.00   0.323    -.0076163    .0226347
                  45  |   .0077856   .0010659     7.30   0.000     .0056445    .0099266
                  46  |   .0225433   .0015838    14.23   0.000     .0193622    .0257244
                  47  |  -.0059679   .0010438    -5.72   0.000    -.0080645   -.0038714
                  48  |  -.0033923   .0018722    -1.81   0.076    -.0071527    .0003681
                  49  |   .0125547   .0015495     8.10   0.000     .0094424    .0156669
                  50  |   .0039656   .0092756     0.43   0.671    -.0146649     .022596
                  51  |  -.0114887   .0035922    -3.20   0.002    -.0187039   -.0042735
                  53  |   -.012886   .0059813    -2.15   0.036    -.0248999   -.0008722
                  54  |  -.0335888    .001727   -19.45   0.000    -.0370575     -.03012
                  55  |  -.0107879   .0034379    -3.14   0.003     -.017693   -.0038827
                  56  |  -.0151889   .0021254    -7.15   0.000    -.0194578   -.0109199
                      |
                 year |
                2012  |  -.0072277   .0031253    -2.31   0.025     -.013505   -.0009505
                2014  |  -.0088334   .0040578    -2.18   0.034    -.0169837   -.0006832
                2016  |  -.0158433   .0054418    -2.91   0.005    -.0267735   -.0049132
                2018  |   -.015317   .0058657    -2.61   0.012    -.0270985   -.0035354
                2020  |  -.0457079   .0065372    -6.99   0.000    -.0588382   -.0325777
                      |
                _cons |   .2042125   .0533006     3.83   0.000     .0971552    .3112698
---------------------------------------------------------------------------------------
(est2 stored)

. 
. eststo: reg donate_blood dist_cz_ideo5_3 dist_cz_ideo5_3_age cz_mean_ideo5_3 fb_share age female co
> llege hs citizen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum l
> og_blood L1_firearm_death_rate incarcerated_rate  i.state i.year , cluster(czone)  

Linear regression                               Number of obs     =    276,951
                                                F(71, 725)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0249
                                                Root MSE          =     .33429

                                         (Std. Err. adjusted for 726 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0108188   .0032063    -3.37   0.001    -.0171136    -.004524
  dist_cz_ideo5_3_age |   .0000403   .0000583     0.69   0.490    -.0000741    .0001547
      cz_mean_ideo5_3 |   .0062936   .0047419     1.33   0.185     -.003016    .0156031
             fb_share |  -.0353347   .0153813    -2.30   0.022    -.0655319   -.0051376
                  age |  -.0024533   .0000868   -28.27   0.000    -.0026237    -.002283
               female |  -.0341747   .0016313   -20.95   0.000    -.0373773   -.0309721
              college |   .0726842   .0039124    18.58   0.000     .0650031    .0803653
                   hs |   .0435666   .0038767    11.24   0.000     .0359558    .0511775
          citizen_dum |   .0372977   .0065221     5.72   0.000     .0244933    .0501021
          income_100k |   .0297121   .0020176    14.73   0.000      .025751    .0336731
           income_50k |   .0272615   .0016529    16.49   0.000     .0240164    .0305065
                white |  -.0221836   .0041893    -5.30   0.000    -.0304082   -.0139591
                black |   -.053834   .0047635   -11.30   0.000    -.0631858   -.0444821
        race_hispanic |  -.0011388   .0049434    -0.23   0.818    -.0108439    .0085663
                asian |  -.0310892   .0059804    -5.20   0.000    -.0428301   -.0193483
nohealthinsurance_dum |   -.024188   .0025151    -9.62   0.000    -.0291257   -.0192503
            log_blood |    .002035   .0016145     1.26   0.208    -.0011346    .0052046
L1_firearm_death_rate |  -.0006217   .0008607    -0.72   0.470    -.0023114    .0010681
    incarcerated_rate |   .0386491   .0589711     0.66   0.512    -.0771253    .1544236
                      |
                state |
                   2  |  -.0303062    .009554    -3.17   0.002     -.049063   -.0115493
                   4  |  -.0213075   .0069046    -3.09   0.002    -.0348628   -.0077521
                   5  |   -.016017   .0087898    -1.82   0.069    -.0332735    .0012395
                   6  |  -.0073295   .0079146    -0.93   0.355    -.0228678    .0082088
                   8  |  -.0299259   .0094046    -3.18   0.002    -.0483895   -.0114623
                   9  |  -.0196861   .0069649    -2.83   0.005    -.0333599   -.0060122
                  10  |   .0238128   .0082913     2.87   0.004     .0075349    .0400906
                  11  |  -.0540451    .007255    -7.45   0.000    -.0682885   -.0398017
                  12  |    .015248   .0074954     2.03   0.042     .0005327    .0299634
                  13  |   .0019444   .0072263     0.27   0.788    -.0122425    .0161314
                  15  |  -.0285638   .0112522    -2.54   0.011    -.0506547   -.0064729
                  16  |  -.0060954   .0136187    -0.45   0.655    -.0328322    .0206414
                  17  |  -.0056414   .0077832    -0.72   0.469    -.0209218    .0096389
                  18  |  -.0065538   .0090539    -0.72   0.469    -.0243289    .0112212
                  19  |  -.0010289   .0088109    -0.12   0.907    -.0183269     .016269
                  20  |  -.0020833   .0080922    -0.26   0.797    -.0179702    .0138036
                  21  |  -.0131735   .0084252    -1.56   0.118    -.0297141    .0033672
                  22  |   .0111397   .0098373     1.13   0.258    -.0081733    .0304527
                  23  |  -.0173395   .0108444    -1.60   0.110    -.0386297    .0039506
                  24  |  -.0221479   .0075416    -2.94   0.003    -.0369539    -.007342
                  25  |  -.0179375   .0071468    -2.51   0.012    -.0319684   -.0039067
                  26  |  -.0172758   .0072365    -2.39   0.017    -.0314828   -.0030688
                  27  |  -.0063598    .008826    -0.72   0.471    -.0236874    .0109677
                  28  |   .0108056   .0086575     1.25   0.212    -.0061912    .0278023
                  29  |  -.0062054   .0084343    -0.74   0.462    -.0227639    .0103531
                  30  |  -.0140642   .0093674    -1.50   0.134    -.0324547    .0043262
                  31  |   .0107796   .0168154     0.64   0.522    -.0222331    .0437923
                  32  |  -.0077203   .0072765    -1.06   0.289    -.0220059    .0065653
                  33  |  -.0148731   .0075296    -1.98   0.049    -.0296556   -.0000906
                  34  |  -.0196107    .010182    -1.93   0.054    -.0396004    .0003789
                  35  |  -.0271429   .0091545    -2.96   0.003    -.0451154   -.0091705
                  36  |  -.0085984    .007178    -1.20   0.231    -.0226905    .0054938
                  37  |  -.0048033   .0083291    -0.58   0.564    -.0211553    .0115487
                  38  |   .0063247   .0124737     0.51   0.612    -.0181642    .0308136
                  39  |  -.0171964   .0083905    -2.05   0.041     -.033669   -.0007239
                  40  |  -.0141712   .0084343    -1.68   0.093    -.0307299    .0023874
                  41  |  -.0209672   .0090209    -2.32   0.020    -.0386774    -.003257
                  42  |  -.0183874    .007966    -2.31   0.021    -.0340266   -.0027482
                  44  |   .0054756   .0069003     0.79   0.428    -.0080715    .0190226
                  45  |   .0077768    .011771     0.66   0.509    -.0153325    .0308861
                  46  |    .021923   .0167894     1.31   0.192    -.0110387    .0548847
                  47  |  -.0063525   .0116438    -0.55   0.586    -.0292121    .0165071
                  48  |  -.0045996   .0078356    -0.59   0.557    -.0199828    .0107835
                  49  |     .01175   .0098165     1.20   0.232    -.0075221    .0310222
                  50  |   .0024058   .0143898     0.17   0.867     -.025845    .0306565
                  51  |  -.0120087   .0088026    -1.36   0.173    -.0292904    .0052729
                  53  |   -.014162   .0075937    -1.86   0.063    -.0290702    .0007463
                  54  |  -.0338943   .0090512    -3.74   0.000     -.051664   -.0161246
                  55  |  -.0112682   .0106573    -1.06   0.291    -.0321911    .0096546
                  56  |   -.015862   .0138343    -1.15   0.252    -.0430221    .0112981
                      |
                 year |
                2012  |  -.0072908   .0024207    -3.01   0.003    -.0120431   -.0025385
                2014  |  -.0089204   .0023133    -3.86   0.000     -.013462   -.0043788
                2016  |   -.015939   .0024716    -6.45   0.000    -.0207913   -.0110866
                2018  |  -.0154847   .0028259    -5.48   0.000    -.0210325   -.0099368
                2020  |  -.0458843   .0026428   -17.36   0.000    -.0510728   -.0406957
                      |
                _cons |   .2095414   .0208395    10.05   0.000     .1686284    .2504545
---------------------------------------------------------------------------------------
(est3 stored)

. eststo: reg donate_blood dist_cz_ideo5_3 dist_cz_ideo5_3_age ideo5_3 cz_mean_ideo5_3 fb_share age f
> emale college hs citizen_dum income_100k income_50k white black race_hispanic asian nohealthinsuran
> ce_dum log_blood L1_firearm_death_rate incarcerated_rate  i.state i.year, cluster(czone)  

Linear regression                               Number of obs     =    276,951
                                                F(72, 725)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0250
                                                Root MSE          =     .33428

                                         (Std. Err. adjusted for 726 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0083032   .0031728    -2.62   0.009    -.0145322   -.0020743
  dist_cz_ideo5_3_age |  -5.01e-06   .0000573    -0.09   0.930    -.0001174    .0001074
              ideo5_3 |    .002721   .0007003     3.89   0.000     .0013461    .0040958
      cz_mean_ideo5_3 |   .0038571   .0046578     0.83   0.408    -.0052874    .0130015
             fb_share |  -.0373064   .0152553    -2.45   0.015    -.0672563   -.0073565
                  age |  -.0024391   .0000863   -28.27   0.000    -.0026084   -.0022697
               female |  -.0336539   .0016474   -20.43   0.000    -.0368881   -.0304197
              college |   .0735833    .003898    18.88   0.000     .0659306     .081236
                   hs |    .043702   .0038755    11.28   0.000     .0360934    .0513105
          citizen_dum |   .0369983   .0065189     5.68   0.000     .0242001    .0497965
          income_100k |   .0292512    .002001    14.62   0.000     .0253227    .0331797
           income_50k |   .0269918   .0016539    16.32   0.000     .0237447    .0302389
                white |  -.0220324   .0041961    -5.25   0.000    -.0302704   -.0137944
                black |  -.0528265   .0048074   -10.99   0.000    -.0622646   -.0433884
        race_hispanic |  -.0007248   .0049548    -0.15   0.884    -.0104522    .0090027
                asian |  -.0308983   .0059969    -5.15   0.000    -.0426717   -.0191249
nohealthinsurance_dum |  -.0241677   .0025115    -9.62   0.000    -.0290984   -.0192371
            log_blood |   .0022404   .0016025     1.40   0.163    -.0009057    .0053864
L1_firearm_death_rate |  -.0005923   .0008631    -0.69   0.493    -.0022868    .0011022
    incarcerated_rate |   .0379309   .0590462     0.64   0.521     -.077991    .1538528
                      |
                state |
                   2  |  -.0298458   .0095498    -3.13   0.002    -.0485943   -.0110973
                   4  |  -.0207186   .0069059    -3.00   0.003    -.0342764   -.0071607
                   5  |  -.0156491   .0087909    -1.78   0.075    -.0329078    .0016095
                   6  |  -.0066005   .0079153    -0.83   0.405    -.0221401     .008939
                   8  |  -.0294939   .0093933    -3.14   0.002    -.0479352   -.0110526
                   9  |   -.019023   .0069713    -2.73   0.007    -.0327094   -.0053367
                  10  |   .0244105   .0083318     2.93   0.003     .0080531    .0407678
                  11  |  -.0530199   .0072713    -7.29   0.000    -.0672953   -.0387446
                  12  |    .015787   .0074956     2.11   0.036     .0010714    .0305026
                  13  |   .0021251    .007236     0.29   0.769    -.0120809    .0163312
                  15  |  -.0276916   .0112051    -2.47   0.014      -.04969   -.0056932
                  16  |  -.0056534    .013588    -0.42   0.677    -.0323299    .0210231
                  17  |  -.0053671   .0078194    -0.69   0.493    -.0207184    .0099843
                  18  |  -.0062514   .0090565    -0.69   0.490    -.0240315    .0115287
                  19  |  -.0005835   .0088228    -0.07   0.947    -.0179048    .0167378
                  20  |  -.0016346   .0080953    -0.20   0.840    -.0175276    .0142585
                  21  |   -.012862    .008445    -1.52   0.128    -.0294416    .0037176
                  22  |   .0112011   .0098578     1.14   0.256    -.0081522    .0305543
                  23  |  -.0167166   .0108414    -1.54   0.124    -.0380009    .0045677
                  24  |  -.0218487   .0075489    -2.89   0.004     -.036669   -.0070284
                  25  |   -.017404   .0071603    -2.43   0.015    -.0314614   -.0033465
                  26  |  -.0168823   .0072519    -2.33   0.020    -.0311196   -.0026451
                  27  |  -.0059614   .0088545    -0.67   0.501    -.0233449    .0114222
                  28  |   .0107945   .0086641     1.25   0.213    -.0062153    .0278043
                  29  |  -.0059472    .008434    -0.71   0.481    -.0225052    .0106108
                  30  |  -.0134922   .0093695    -1.44   0.150    -.0318869    .0049025
                  31  |   .0111603   .0168616     0.66   0.508    -.0219431    .0442638
                  32  |  -.0069117   .0072851    -0.95   0.343    -.0212142    .0073908
                  33  |  -.0142471   .0075458    -1.89   0.059    -.0290613    .0005672
                  34  |   -.019138   .0101432    -1.89   0.060    -.0390515    .0007755
                  35  |  -.0265315   .0091769    -2.89   0.004    -.0445479   -.0085152
                  36  |  -.0080931    .007191    -1.13   0.261    -.0222107    .0060245
                  37  |  -.0044995   .0083515    -0.54   0.590    -.0208956    .0118966
                  38  |   .0067374   .0124692     0.54   0.589    -.0177426    .0312175
                  39  |  -.0168384   .0084019    -2.00   0.045    -.0333332   -.0003435
                  40  |  -.0138888    .008422    -1.65   0.100    -.0304233    .0026457
                  41  |   -.020201   .0090152    -2.24   0.025    -.0379001   -.0025019
                  42  |  -.0180458   .0079779    -2.26   0.024    -.0337083   -.0023832
                  44  |   .0062576   .0069132     0.91   0.366    -.0073146    .0198298
                  45  |   .0079019   .0117757     0.67   0.502    -.0152165    .0310204
                  46  |   .0222817   .0168174     1.32   0.186     -.010735    .0552983
                  47  |   -.006082   .0116693    -0.52   0.602    -.0289917    .0168277
                  48  |  -.0042745   .0078308    -0.55   0.585    -.0196483    .0110992
                  49  |   .0121184   .0098683     1.23   0.220    -.0072554    .0314921
                  50  |   .0032114   .0143926     0.22   0.823    -.0250447    .0314675
                  51  |  -.0117996   .0088217    -1.34   0.181    -.0291188    .0055195
                  53  |  -.0135747   .0075855    -1.79   0.074    -.0284668    .0013174
                  54  |  -.0334363   .0090783    -3.68   0.000    -.0512592   -.0156134
                  55  |  -.0108961   .0106122    -1.03   0.305    -.0317304    .0099381
                  56  |  -.0153721   .0138448    -1.11   0.267    -.0425528    .0118086
                      |
                 year |
                2012  |  -.0072499   .0024227    -2.99   0.003    -.0120062   -.0024936
                2014  |  -.0089123   .0023142    -3.85   0.000    -.0134556    -.004369
                2016  |  -.0159638    .002471    -6.46   0.000     -.020815   -.0111126
                2018  |  -.0154996   .0028265    -5.48   0.000    -.0210488   -.0099504
                2020  |  -.0458852   .0026407   -17.38   0.000    -.0510694   -.0407009
                      |
                _cons |   .2068888   .0209195     9.89   0.000     .1658187    .2479589
---------------------------------------------------------------------------------------
(est4 stored)

.         
. esttab using "TableA7.tex", label keep(dist_st_ideo5_3 st_mean_ideo5_3 dist_cz_ideo5_3 cz_mean_ideo
> 5_3 ideo5_3 fb_share age female college hs citizen_dum income_100k income_50k nohealthinsurance_dum
>  log_blood L1_firearm_death_rate incarcerated_rate ) order(dist_st_ideo5_3 st_mean_ideo5_3 dist_cz_
> ideo5_3 cz_mean_ideo5_3 ideo5_3 fb_share age female college hs citizen_dum income_100k income_50k n
> ohealthinsurance_dum log_blood L1_firearm_death_rate incarcerated_rate ) nonotes se(3) b(3) replace
>  star(+ 0.10 * 0.05 ** 0.01) compress nogaps nodepvars indicate("State FE = *state*" "Year FE = *ye
> ar*") 
(output written to TableA7.tex)

. 
. * Table A11: Social Diversity and Blood Donation: 2020 Only
. 
. eststo clear

. 
. eststo: reg donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state if year == 2020, cluster(state)  
note: 56.state omitted because of collinearity

Linear regression                               Number of obs     =     48,515
                                                F(16, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0208
                                                Root MSE          =     .29874

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |   -.006675   .0019673    -3.39   0.001    -.0106265   -.0027235
      st_mean_ideo5_3 |  -.2600676   .0214368   -12.13   0.000    -.3031247   -.2170106
             fb_share |  -.0775668   .0182081    -4.26   0.000    -.1141388   -.0409948
                  age |  -.0016191   .0001106   -14.64   0.000    -.0018413   -.0013969
               female |  -.0253288   .0028892    -8.77   0.000     -.031132   -.0195256
              college |   .0659692   .0066766     9.88   0.000     .0525588    .0793796
                   hs |    .031946   .0066242     4.82   0.000     .0186409    .0452511
          citizen_dum |   .0330189   .0140381     2.35   0.023     .0048227    .0612152
          income_100k |   .0245873   .0035057     7.01   0.000      .017546    .0316286
           income_50k |   .0223654   .0038784     5.77   0.000     .0145753    .0301554
                white |  -.0036997   .0077995    -0.47   0.637    -.0193654     .011966
                black |  -.0360212    .009367    -3.85   0.000    -.0548354    -.017207
        race_hispanic |   .0067878   .0093721     0.72   0.472    -.0120365    .0256121
                asian |  -.0110784   .0133541    -0.83   0.411    -.0379008    .0157441
nohealthinsurance_dum |  -.0190623   .0051099    -3.73   0.000    -.0293257   -.0087989
            log_blood |   .0021941   .0020902     1.05   0.299    -.0020041    .0063923
L1_firearm_death_rate |  -.0017301   .0013237    -1.31   0.197    -.0043887    .0009286
    incarcerated_rate |   .0212875   .0876351     0.24   0.809    -.1547327    .1973078
                      |
                state |
                   2  |   .0143924   .0035974     4.00   0.000     .0071667     .021618
                   4  |  -.0477647   .0044941   -10.63   0.000    -.0567913   -.0387381
                   5  |  -.0234902   .0023183   -10.13   0.000    -.0281466   -.0188337
                   6  |  -.1334168    .011883   -11.23   0.000    -.1572845    -.109549
                   8  |  -.1297504   .0092481   -14.03   0.000    -.1483257   -.1111751
                   9  |  -.1312803   .0109177   -12.02   0.000    -.1532092   -.1093515
                  10  |  -.0968839   .0072437   -13.37   0.000    -.1114333   -.0823346
                  11  |  -.3258926   .0229887   -14.18   0.000    -.3720668   -.2797185
                  12  |  -.0248059   .0053586    -4.63   0.000    -.0355689    -.014043
                  13  |  -.0306731   .0045764    -6.70   0.000    -.0398651    -.021481
                  15  |  -.1592591   .0148192   -10.75   0.000    -.1890243    -.129494
                  16  |   .0003514   .0026568     0.13   0.895     -.004985    .0056878
                  17  |  -.1053145   .0102977   -10.23   0.000    -.1259979    -.084631
                  18  |  -.0532184   .0051783   -10.28   0.000    -.0636193   -.0428175
                  19  |  -.0762147   .0070628   -10.79   0.000    -.0904006   -.0620287
                  20  |  -.0550794   .0061275    -8.99   0.000    -.0673869   -.0427719
                  21  |  -.0186386   .0036012    -5.18   0.000    -.0258717   -.0114054
                  22  |  -.0185018   .0031618    -5.85   0.000    -.0248525   -.0121511
                  23  |  -.1023658   .0093399   -10.96   0.000    -.1211255    -.083606
                  24  |  -.1353004   .0098021   -13.80   0.000    -.1549885   -.1156123
                  25  |  -.1700889   .0141027   -12.06   0.000     -.198415   -.1417627
                  26  |   -.106957    .007786   -13.74   0.000    -.1225957   -.0913183
                  27  |   -.122322   .0106886   -11.44   0.000    -.1437907   -.1008534
                  28  |   .0115747   .0016818     6.88   0.000     .0081967    .0149527
                  29  |  -.0508006   .0057262    -8.87   0.000    -.0623021   -.0392992
                  30  |  -.0886313   .0064182   -13.81   0.000    -.1015226     -.07574
                  31  |  -.0474706    .008134    -5.84   0.000    -.0638082   -.0311331
                  32  |    -.07215   .0077237    -9.34   0.000    -.0876636   -.0566365
                  33  |  -.0975661   .0100397    -9.72   0.000    -.1177314   -.0774008
                  34  |  -.1041778   .0092127   -11.31   0.000    -.1226822   -.0856735
                  35  |  -.1009169   .0077567   -13.01   0.000    -.1164966   -.0853371
                  36  |  -.1205091   .0115276   -10.45   0.000    -.1436629   -.0973553
                  37  |  -.0510396   .0053853    -9.48   0.000    -.0618562    -.040223
                  38  |   .0200029     .00196    10.21   0.000      .016066    .0239397
                  39  |  -.0921081   .0073853   -12.47   0.000    -.1069419   -.0772743
                  40  |   -.028709   .0011051   -25.98   0.000    -.0309286   -.0264894
                  41  |  -.1768308   .0143915   -12.29   0.000    -.2057371   -.1479246
                  42  |  -.0768952   .0058856   -13.07   0.000    -.0887167   -.0650738
                  44  |  -.1556276   .0117457   -13.25   0.000    -.1792195   -.1320357
                  45  |   .0169487   .0030477     5.56   0.000     .0108273    .0230702
                  46  |   .0965816   .0027959    34.54   0.000     .0909659    .1021973
                  47  |  -.0232141   .0030199    -7.69   0.000    -.0292799   -.0171484
                  48  |  -.0403953   .0052187    -7.74   0.000    -.0508775   -.0299132
                  49  |  -.0390985   .0052829    -7.40   0.000    -.0497096   -.0284874
                  50  |  -.1854915   .0166913   -11.11   0.000     -.219017    -.151966
                  51  |  -.0983042   .0079893   -12.30   0.000    -.1143512   -.0822573
                  53  |  -.1347905   .0118758   -11.35   0.000    -.1586438   -.1109371
                  54  |  -.0265486   .0008989   -29.54   0.000     -.028354   -.0247431
                  55  |   -.094536   .0069168   -13.67   0.000    -.1084288   -.0806432
                  56  |          0  (omitted)
                      |
                _cons |   .9724714   .0658495    14.77   0.000     .8402088    1.104734
---------------------------------------------------------------------------------------
(est1 stored)

. eststo: reg donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state if year == 2020, cluster(state)  
note: 56.state omitted because of collinearity

Linear regression                               Number of obs     =     48,515
                                                F(17, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0209
                                                Root MSE          =     .29872

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0067792   .0019466    -3.48   0.001    -.0106891   -.0028694
              ideo5_3 |   .0032852   .0013621     2.41   0.020     .0005493     .006021
      st_mean_ideo5_3 |  -.2576308    .021138   -12.19   0.000    -.3000877   -.2151739
             fb_share |  -.0770051   .0183669    -4.19   0.000    -.1138961   -.0401141
                  age |  -.0016643   .0001146   -14.52   0.000    -.0018945   -.0014341
               female |  -.0248114   .0028833    -8.61   0.000    -.0306028     -.01902
              college |   .0675403   .0067291    10.04   0.000     .0540246     .081056
                   hs |   .0323072   .0066311     4.87   0.000     .0189882    .0456262
          citizen_dum |   .0331793   .0140501     2.36   0.022     .0049588    .0613997
          income_100k |   .0241081   .0034733     6.94   0.000     .0171318    .0310844
           income_50k |   .0221028   .0038896     5.68   0.000     .0142903    .0299152
                white |  -.0036538    .007814    -0.47   0.642    -.0193487    .0120411
                black |  -.0349585   .0093584    -3.74   0.000    -.0537555   -.0161615
        race_hispanic |   .0068994   .0093725     0.74   0.465    -.0119258    .0257245
                asian |   -.011388   .0133545    -0.85   0.398    -.0382112    .0154352
nohealthinsurance_dum |   -.019237   .0050896    -3.78   0.000    -.0294597   -.0090143
            log_blood |   .0026724   .0021114     1.27   0.211    -.0015684    .0069132
L1_firearm_death_rate |  -.0017141   .0013135    -1.30   0.198    -.0043524    .0009241
    incarcerated_rate |   .0194454    .087503     0.22   0.825    -.1563096    .1952004
                      |
                state |
                   2  |   .0150291   .0035308     4.26   0.000     .0079373    .0221209
                   4  |  -.0469393   .0043866   -10.70   0.000      -.05575   -.0381286
                   5  |  -.0230953   .0022647   -10.20   0.000     -.027644   -.0185466
                   6  |  -.1310367   .0116161   -11.28   0.000    -.1543682   -.1077051
                   8  |  -.1279581    .009068   -14.11   0.000    -.1461718   -.1097445
                   9  |  -.1287238   .0106735   -12.06   0.000    -.1501622   -.1072855
                  10  |  -.0953406   .0071063   -13.42   0.000     -.109614   -.0810672
                  11  |  -.3214973   .0225214   -14.28   0.000    -.3667329   -.2762617
                  12  |  -.0240898   .0052518    -4.59   0.000    -.0346383   -.0135412
                  13  |  -.0301695   .0044929    -6.71   0.000    -.0391937   -.0211452
                  15  |  -.1561081   .0145556   -10.72   0.000    -.1853438   -.1268725
                  16  |   .0008952   .0025836     0.35   0.730     -.004294    .0060845
                  17  |  -.1036417   .0100979   -10.26   0.000    -.1239239   -.0833596
                  18  |  -.0520877   .0050699   -10.27   0.000     -.062271   -.0419045
                  19  |  -.0746989   .0069134   -10.81   0.000    -.0885848    -.060813
                  20  |  -.0536018   .0060106    -8.92   0.000    -.0656744   -.0415291
                  21  |  -.0179735   .0035131    -5.12   0.000    -.0250299   -.0109172
                  22  |  -.0184367   .0031358    -5.88   0.000    -.0247352   -.0121382
                  23  |  -.0998919   .0091607   -10.90   0.000    -.1182916   -.0814921
                  24  |  -.1335786   .0095949   -13.92   0.000    -.1528506   -.1143066
                  25  |  -.1670273   .0137937   -12.11   0.000    -.1947327   -.1393219
                  26  |  -.1052775   .0076304   -13.80   0.000    -.1206035   -.0899515
                  27  |  -.1201601    .010482   -11.46   0.000    -.1412139   -.0991063
                  28  |   .0115107   .0016835     6.84   0.000     .0081293    .0148921
                  29  |  -.0497855    .005624    -8.85   0.000    -.0610817   -.0384893
                  30  |  -.0870349   .0063173   -13.78   0.000    -.0997237   -.0743461
                  31  |  -.0458363   .0079797    -5.74   0.000     -.061864   -.0298086
                  32  |  -.0705733   .0075383    -9.36   0.000    -.0857144   -.0554322
                  33  |   -.094852   .0098506    -9.63   0.000    -.1146375   -.0750665
                  34  |  -.1027778   .0090121   -11.40   0.000    -.1208792   -.0846765
                  35  |  -.0990096   .0076546   -12.93   0.000    -.1143843   -.0836349
                  36  |  -.1184275   .0112786   -10.50   0.000    -.1410812   -.0957738
                  37  |   -.050055   .0052802    -9.48   0.000    -.0606607   -.0394494
                  38  |    .020363   .0019083    10.67   0.000     .0165301     .024196
                  39  |   -.090539   .0072416   -12.50   0.000    -.1050842   -.0759938
                  40  |  -.0287294   .0010979   -26.17   0.000    -.0309346   -.0265243
                  41  |   -.173274   .0141065   -12.28   0.000    -.2016077   -.1449403
                  42  |  -.0758614   .0057687   -13.15   0.000     -.087448   -.0642747
                  44  |  -.1531354   .0114914   -13.33   0.000    -.1762165   -.1300542
                  45  |    .017235   .0030018     5.74   0.000     .0112057    .0232642
                  46  |   .0957737   .0027731    34.54   0.000     .0902039    .1013436
                  47  |  -.0228859   .0029661    -7.72   0.000    -.0288434   -.0169284
                  48  |  -.0398816   .0051265    -7.78   0.000    -.0501784   -.0295848
                  49  |  -.0380665   .0051572    -7.38   0.000     -.048425   -.0277081
                  50  |  -.1813618   .0164004   -11.06   0.000     -.214303   -.1484205
                  51  |  -.0967439   .0078187   -12.37   0.000    -.1124483   -.0810395
                  53  |  -.1322188   .0116147   -11.38   0.000    -.1555476     -.10889
                  54  |  -.0263297   .0008815   -29.87   0.000    -.0281002   -.0245592
                  55  |  -.0929425   .0067805   -13.71   0.000    -.1065616   -.0793234
                  56  |          0  (omitted)
                      |
                _cons |   .9548288    .064922    14.71   0.000      .824429    1.085229
---------------------------------------------------------------------------------------
(est2 stored)

. 
. eststo: reg donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year if year == 2020, cluster(state)  
note: 56.state omitted because of collinearity
note: 2020.year omitted because of collinearity

Linear regression                               Number of obs     =     48,515
                                                F(16, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0208
                                                Root MSE          =     .29874

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |   -.006675   .0019673    -3.39   0.001    -.0106265   -.0027235
      st_mean_ideo5_3 |  -.2600676   .0214368   -12.13   0.000    -.3031247   -.2170106
             fb_share |  -.0775668   .0182081    -4.26   0.000    -.1141388   -.0409948
                  age |  -.0016191   .0001106   -14.64   0.000    -.0018413   -.0013969
               female |  -.0253288   .0028892    -8.77   0.000     -.031132   -.0195256
              college |   .0659692   .0066766     9.88   0.000     .0525588    .0793796
                   hs |    .031946   .0066242     4.82   0.000     .0186409    .0452511
          citizen_dum |   .0330189   .0140381     2.35   0.023     .0048227    .0612152
          income_100k |   .0245873   .0035057     7.01   0.000      .017546    .0316286
           income_50k |   .0223654   .0038784     5.77   0.000     .0145753    .0301554
                white |  -.0036997   .0077995    -0.47   0.637    -.0193654     .011966
                black |  -.0360212    .009367    -3.85   0.000    -.0548354    -.017207
        race_hispanic |   .0067878   .0093721     0.72   0.472    -.0120365    .0256121
                asian |  -.0110784   .0133541    -0.83   0.411    -.0379008    .0157441
nohealthinsurance_dum |  -.0190623   .0051099    -3.73   0.000    -.0293257   -.0087989
            log_blood |   .0021941   .0020902     1.05   0.299    -.0020041    .0063923
L1_firearm_death_rate |  -.0017301   .0013237    -1.31   0.197    -.0043887    .0009286
    incarcerated_rate |   .0212875   .0876351     0.24   0.809    -.1547327    .1973078
                      |
                state |
                   2  |   .0143924   .0035974     4.00   0.000     .0071667     .021618
                   4  |  -.0477647   .0044941   -10.63   0.000    -.0567913   -.0387381
                   5  |  -.0234902   .0023183   -10.13   0.000    -.0281466   -.0188337
                   6  |  -.1334168    .011883   -11.23   0.000    -.1572845    -.109549
                   8  |  -.1297504   .0092481   -14.03   0.000    -.1483257   -.1111751
                   9  |  -.1312803   .0109177   -12.02   0.000    -.1532092   -.1093515
                  10  |  -.0968839   .0072437   -13.37   0.000    -.1114333   -.0823346
                  11  |  -.3258926   .0229887   -14.18   0.000    -.3720668   -.2797185
                  12  |  -.0248059   .0053586    -4.63   0.000    -.0355689    -.014043
                  13  |  -.0306731   .0045764    -6.70   0.000    -.0398651    -.021481
                  15  |  -.1592591   .0148192   -10.75   0.000    -.1890243    -.129494
                  16  |   .0003514   .0026568     0.13   0.895     -.004985    .0056878
                  17  |  -.1053145   .0102977   -10.23   0.000    -.1259979    -.084631
                  18  |  -.0532184   .0051783   -10.28   0.000    -.0636193   -.0428175
                  19  |  -.0762147   .0070628   -10.79   0.000    -.0904006   -.0620287
                  20  |  -.0550794   .0061275    -8.99   0.000    -.0673869   -.0427719
                  21  |  -.0186386   .0036012    -5.18   0.000    -.0258717   -.0114054
                  22  |  -.0185018   .0031618    -5.85   0.000    -.0248525   -.0121511
                  23  |  -.1023658   .0093399   -10.96   0.000    -.1211255    -.083606
                  24  |  -.1353004   .0098021   -13.80   0.000    -.1549885   -.1156123
                  25  |  -.1700889   .0141027   -12.06   0.000     -.198415   -.1417627
                  26  |   -.106957    .007786   -13.74   0.000    -.1225957   -.0913183
                  27  |   -.122322   .0106886   -11.44   0.000    -.1437907   -.1008534
                  28  |   .0115747   .0016818     6.88   0.000     .0081967    .0149527
                  29  |  -.0508006   .0057262    -8.87   0.000    -.0623021   -.0392992
                  30  |  -.0886313   .0064182   -13.81   0.000    -.1015226     -.07574
                  31  |  -.0474706    .008134    -5.84   0.000    -.0638082   -.0311331
                  32  |    -.07215   .0077237    -9.34   0.000    -.0876636   -.0566365
                  33  |  -.0975661   .0100397    -9.72   0.000    -.1177314   -.0774008
                  34  |  -.1041778   .0092127   -11.31   0.000    -.1226822   -.0856735
                  35  |  -.1009169   .0077567   -13.01   0.000    -.1164966   -.0853371
                  36  |  -.1205091   .0115276   -10.45   0.000    -.1436629   -.0973553
                  37  |  -.0510396   .0053853    -9.48   0.000    -.0618562    -.040223
                  38  |   .0200029     .00196    10.21   0.000      .016066    .0239397
                  39  |  -.0921081   .0073853   -12.47   0.000    -.1069419   -.0772743
                  40  |   -.028709   .0011051   -25.98   0.000    -.0309286   -.0264894
                  41  |  -.1768308   .0143915   -12.29   0.000    -.2057371   -.1479246
                  42  |  -.0768952   .0058856   -13.07   0.000    -.0887167   -.0650738
                  44  |  -.1556276   .0117457   -13.25   0.000    -.1792195   -.1320357
                  45  |   .0169487   .0030477     5.56   0.000     .0108273    .0230702
                  46  |   .0965816   .0027959    34.54   0.000     .0909659    .1021973
                  47  |  -.0232141   .0030199    -7.69   0.000    -.0292799   -.0171484
                  48  |  -.0403953   .0052187    -7.74   0.000    -.0508775   -.0299132
                  49  |  -.0390985   .0052829    -7.40   0.000    -.0497096   -.0284874
                  50  |  -.1854915   .0166913   -11.11   0.000     -.219017    -.151966
                  51  |  -.0983042   .0079893   -12.30   0.000    -.1143512   -.0822573
                  53  |  -.1347905   .0118758   -11.35   0.000    -.1586438   -.1109371
                  54  |  -.0265486   .0008989   -29.54   0.000     -.028354   -.0247431
                  55  |   -.094536   .0069168   -13.67   0.000    -.1084288   -.0806432
                  56  |          0  (omitted)
                      |
                 year |
                2020  |          0  (omitted)
                      |
                _cons |   .9724714   .0658495    14.77   0.000     .8402088    1.104734
---------------------------------------------------------------------------------------
(est3 stored)

. eststo: reg donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state i.year if year == 2020, cluster(state)  
note: 56.state omitted because of collinearity
note: 2020.year omitted because of collinearity

Linear regression                               Number of obs     =     48,515
                                                F(17, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0209
                                                Root MSE          =     .29872

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0067792   .0019466    -3.48   0.001    -.0106891   -.0028694
              ideo5_3 |   .0032852   .0013621     2.41   0.020     .0005493     .006021
      st_mean_ideo5_3 |  -.2576308    .021138   -12.19   0.000    -.3000877   -.2151739
             fb_share |  -.0770051   .0183669    -4.19   0.000    -.1138961   -.0401141
                  age |  -.0016643   .0001146   -14.52   0.000    -.0018945   -.0014341
               female |  -.0248114   .0028833    -8.61   0.000    -.0306028     -.01902
              college |   .0675403   .0067291    10.04   0.000     .0540246     .081056
                   hs |   .0323072   .0066311     4.87   0.000     .0189882    .0456262
          citizen_dum |   .0331793   .0140501     2.36   0.022     .0049588    .0613997
          income_100k |   .0241081   .0034733     6.94   0.000     .0171318    .0310844
           income_50k |   .0221028   .0038896     5.68   0.000     .0142903    .0299152
                white |  -.0036538    .007814    -0.47   0.642    -.0193487    .0120411
                black |  -.0349585   .0093584    -3.74   0.000    -.0537555   -.0161615
        race_hispanic |   .0068994   .0093725     0.74   0.465    -.0119258    .0257245
                asian |   -.011388   .0133545    -0.85   0.398    -.0382112    .0154352
nohealthinsurance_dum |   -.019237   .0050896    -3.78   0.000    -.0294597   -.0090143
            log_blood |   .0026724   .0021114     1.27   0.211    -.0015684    .0069132
L1_firearm_death_rate |  -.0017141   .0013135    -1.30   0.198    -.0043524    .0009241
    incarcerated_rate |   .0194454    .087503     0.22   0.825    -.1563096    .1952004
                      |
                state |
                   2  |   .0150291   .0035308     4.26   0.000     .0079373    .0221209
                   4  |  -.0469393   .0043866   -10.70   0.000      -.05575   -.0381286
                   5  |  -.0230953   .0022647   -10.20   0.000     -.027644   -.0185466
                   6  |  -.1310367   .0116161   -11.28   0.000    -.1543682   -.1077051
                   8  |  -.1279581    .009068   -14.11   0.000    -.1461718   -.1097445
                   9  |  -.1287238   .0106735   -12.06   0.000    -.1501622   -.1072855
                  10  |  -.0953406   .0071063   -13.42   0.000     -.109614   -.0810672
                  11  |  -.3214973   .0225214   -14.28   0.000    -.3667329   -.2762617
                  12  |  -.0240898   .0052518    -4.59   0.000    -.0346383   -.0135412
                  13  |  -.0301695   .0044929    -6.71   0.000    -.0391937   -.0211452
                  15  |  -.1561081   .0145556   -10.72   0.000    -.1853438   -.1268725
                  16  |   .0008952   .0025836     0.35   0.730     -.004294    .0060845
                  17  |  -.1036417   .0100979   -10.26   0.000    -.1239239   -.0833596
                  18  |  -.0520877   .0050699   -10.27   0.000     -.062271   -.0419045
                  19  |  -.0746989   .0069134   -10.81   0.000    -.0885848    -.060813
                  20  |  -.0536018   .0060106    -8.92   0.000    -.0656744   -.0415291
                  21  |  -.0179735   .0035131    -5.12   0.000    -.0250299   -.0109172
                  22  |  -.0184367   .0031358    -5.88   0.000    -.0247352   -.0121382
                  23  |  -.0998919   .0091607   -10.90   0.000    -.1182916   -.0814921
                  24  |  -.1335786   .0095949   -13.92   0.000    -.1528506   -.1143066
                  25  |  -.1670273   .0137937   -12.11   0.000    -.1947327   -.1393219
                  26  |  -.1052775   .0076304   -13.80   0.000    -.1206035   -.0899515
                  27  |  -.1201601    .010482   -11.46   0.000    -.1412139   -.0991063
                  28  |   .0115107   .0016835     6.84   0.000     .0081293    .0148921
                  29  |  -.0497855    .005624    -8.85   0.000    -.0610817   -.0384893
                  30  |  -.0870349   .0063173   -13.78   0.000    -.0997237   -.0743461
                  31  |  -.0458363   .0079797    -5.74   0.000     -.061864   -.0298086
                  32  |  -.0705733   .0075383    -9.36   0.000    -.0857144   -.0554322
                  33  |   -.094852   .0098506    -9.63   0.000    -.1146375   -.0750665
                  34  |  -.1027778   .0090121   -11.40   0.000    -.1208792   -.0846765
                  35  |  -.0990096   .0076546   -12.93   0.000    -.1143843   -.0836349
                  36  |  -.1184275   .0112786   -10.50   0.000    -.1410812   -.0957738
                  37  |   -.050055   .0052802    -9.48   0.000    -.0606607   -.0394494
                  38  |    .020363   .0019083    10.67   0.000     .0165301     .024196
                  39  |   -.090539   .0072416   -12.50   0.000    -.1050842   -.0759938
                  40  |  -.0287294   .0010979   -26.17   0.000    -.0309346   -.0265243
                  41  |   -.173274   .0141065   -12.28   0.000    -.2016077   -.1449403
                  42  |  -.0758614   .0057687   -13.15   0.000     -.087448   -.0642747
                  44  |  -.1531354   .0114914   -13.33   0.000    -.1762165   -.1300542
                  45  |    .017235   .0030018     5.74   0.000     .0112057    .0232642
                  46  |   .0957737   .0027731    34.54   0.000     .0902039    .1013436
                  47  |  -.0228859   .0029661    -7.72   0.000    -.0288434   -.0169284
                  48  |  -.0398816   .0051265    -7.78   0.000    -.0501784   -.0295848
                  49  |  -.0380665   .0051572    -7.38   0.000     -.048425   -.0277081
                  50  |  -.1813618   .0164004   -11.06   0.000     -.214303   -.1484205
                  51  |  -.0967439   .0078187   -12.37   0.000    -.1124483   -.0810395
                  53  |  -.1322188   .0116147   -11.38   0.000    -.1555476     -.10889
                  54  |  -.0263297   .0008815   -29.87   0.000    -.0281002   -.0245592
                  55  |  -.0929425   .0067805   -13.71   0.000    -.1065616   -.0793234
                  56  |          0  (omitted)
                      |
                 year |
                2020  |          0  (omitted)
                      |
                _cons |   .9548288    .064922    14.71   0.000      .824429    1.085229
---------------------------------------------------------------------------------------
(est4 stored)

. 
. eststo: reg donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state if year == 2020, cluster(czone)  

Linear regression                               Number of obs     =     48,515
                                                F(65, 678)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0209
                                                Root MSE          =     .29872

                                         (Std. Err. adjusted for 679 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0067393   .0021172    -3.18   0.002    -.0108963   -.0025822
      cz_mean_ideo5_3 |   .0197519   .0080834     2.44   0.015     .0038805    .0356234
             fb_share |  -.0525464   .0266453    -1.97   0.049    -.1048637   -.0002291
                  age |   -.001621   .0000834   -19.44   0.000    -.0017847   -.0014573
               female |  -.0253468   .0029112    -8.71   0.000    -.0310628   -.0196308
              college |   .0665188   .0072058     9.23   0.000     .0523705    .0806671
                   hs |   .0321549   .0065186     4.93   0.000     .0193557     .044954
          citizen_dum |   .0329063   .0135801     2.42   0.016     .0062421    .0595705
          income_100k |   .0248313   .0035679     6.96   0.000     .0178257    .0318368
           income_50k |   .0224779   .0034613     6.49   0.000     .0156819     .029274
                white |  -.0035809   .0067923    -0.53   0.598    -.0169173    .0097555
                black |  -.0354091   .0078851    -4.49   0.000    -.0508913   -.0199269
        race_hispanic |   .0067493   .0091301     0.74   0.460    -.0111774    .0246761
                asian |  -.0109409   .0109515    -1.00   0.318    -.0324439    .0105621
nohealthinsurance_dum |  -.0190277   .0051249    -3.71   0.000    -.0290901   -.0089652
            log_blood |   .0032287   .0022475     1.44   0.151    -.0011842    .0076415
L1_firearm_death_rate |  -.0018699   .0011243    -1.66   0.097    -.0040774    .0003377
    incarcerated_rate |    .006549   .0980491     0.07   0.947    -.1859673    .1990653
                      |
                state |
                   2  |   .0218039   .0389913     0.56   0.576    -.0547542     .098362
                   4  |  -.0302104   .0143029    -2.11   0.035    -.0582937   -.0021271
                   5  |  -.0296204    .015554    -1.90   0.057    -.0601602    .0009193
                   6  |  -.0179103   .0145332    -1.23   0.218    -.0464457    .0106252
                   8  |  -.0471543   .0192844    -2.45   0.015    -.0850186     -.00929
                   9  |  -.0282947    .013824    -2.05   0.041    -.0554376   -.0011518
                  10  |   -.043759    .038255    -1.14   0.253    -.1188716    .0313535
                  11  |  -.0625541   .0142543    -4.39   0.000    -.0905419   -.0345662
                  12  |   .0034407   .0152756     0.23   0.822    -.0265524    .0334338
                  13  |    -.01015   .0140346    -0.72   0.470    -.0377065    .0174066
                  15  |  -.0368177   .0172796    -2.13   0.033    -.0707457   -.0028897
                  16  |  -.0021364   .0162417    -0.13   0.895    -.0340265    .0297538
                  17  |  -.0119048   .0165755    -0.72   0.473    -.0444503    .0206408
                  18  |  -.0176466   .0153619    -1.15   0.251    -.0478092    .0125159
                  19  |  -.0214727   .0208891    -1.03   0.304    -.0624879    .0195424
                  20  |  -.0140617    .024121    -0.58   0.560    -.0614224    .0332991
                  21  |  -.0065199   .0187748    -0.35   0.728    -.0433836    .0303437
                  22  |  -.0170905   .0166132    -1.03   0.304    -.0497101     .015529
                  23  |   -.019449   .0265325    -0.73   0.464    -.0715447    .0326467
                  24  |  -.0443933   .0146957    -3.02   0.003    -.0732478   -.0155389
                  25  |  -.0265082   .0171677    -1.54   0.123    -.0602165       .0072
                  26  |  -.0423967   .0141616    -2.99   0.003    -.0702025   -.0145909
                  27  |  -.0230803   .0169785    -1.36   0.174    -.0564172    .0102565
                  28  |  -.0029334   .0207827    -0.14   0.888    -.0437396    .0378728
                  29  |   -.015598   .0148699    -1.05   0.295    -.0447946    .0135987
                  30  |  -.0454391   .0232673    -1.95   0.051    -.0911237    .0002455
                  31  |   .0201973   .0258263     0.78   0.434    -.0305119    .0709065
                  32  |  -.0153474   .0198891    -0.77   0.441    -.0543991    .0237043
                  33  |  -.0081233   .0154375    -0.53   0.599    -.0384343    .0221877
                  34  |  -.0314345   .0182793    -1.72   0.086    -.0673254    .0044563
                  35  |  -.0411222   .0165659    -2.48   0.013    -.0736488   -.0085956
                  36  |  -.0113381   .0144689    -0.78   0.434    -.0397474    .0170713
                  37  |  -.0138188   .0157467    -0.88   0.380    -.0447369    .0170993
                  38  |   .0073488   .0253408     0.29   0.772    -.0424071    .0571046
                  39  |  -.0327352   .0155782    -2.10   0.036    -.0633225   -.0021478
                  40  |  -.0343173   .0172987    -1.98   0.048    -.0682827   -.0003518
                  41  |  -.0286012   .0225794    -1.27   0.206    -.0729352    .0157327
                  42  |  -.0399638   .0153258    -2.61   0.009    -.0700555    -.009872
                  44  |  -.0440614   .0138273    -3.19   0.002     -.071211   -.0169119
                  45  |   .0188673   .0227493     0.83   0.407    -.0258002    .0635348
                  46  |   .0256609   .0359832     0.71   0.476     -.044991    .0963128
                  47  |   -.023424   .0164473    -1.42   0.155    -.0557177    .0088698
                  48  |  -.0152674   .0147333    -1.04   0.300    -.0441958     .013661
                  49  |   -.004367   .0168073    -0.26   0.795    -.0373676    .0286337
                  50  |  -.0079081   .0199368    -0.40   0.692    -.0470534    .0312373
                  51  |  -.0246275   .0147762    -1.67   0.096    -.0536401    .0043851
                  53  |  -.0190028   .0150119    -1.27   0.206    -.0484781    .0104725
                  54  |  -.0605747   .0190855    -3.17   0.002    -.0980486   -.0231009
                  55  |  -.0325532   .0161666    -2.01   0.044    -.0642958   -.0008107
                  56  |  -.0402546   .0307934    -1.31   0.192    -.1007166    .0202073
                      |
                _cons |   .0857124    .034154     2.51   0.012     .0186521    .1527728
---------------------------------------------------------------------------------------
(est5 stored)

. eststo: reg donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state if year == 2020, cluster(czone)  

Linear regression                               Number of obs     =     48,515
                                                F(66, 678)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0211
                                                Root MSE          =     .29871

                                         (Std. Err. adjusted for 679 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0068447   .0021037    -3.25   0.001    -.0109752   -.0027142
              ideo5_3 |   .0029132    .001448     2.01   0.045       .00007    .0057564
      cz_mean_ideo5_3 |   .0172855   .0080728     2.14   0.033     .0014349    .0331361
             fb_share |  -.0549915   .0264433    -2.08   0.038    -.1069121   -.0030709
                  age |  -.0016608   .0000858   -19.36   0.000    -.0018292   -.0014924
               female |  -.0248885   .0029391    -8.47   0.000    -.0306594   -.0191176
              college |   .0678397    .007215     9.40   0.000     .0536734    .0820061
                   hs |   .0324506   .0065249     4.97   0.000     .0196392     .045262
          citizen_dum |   .0330687   .0135684     2.44   0.015     .0064277    .0597098
          income_100k |   .0243787   .0035062     6.95   0.000     .0174944    .0312629
           income_50k |   .0222279   .0034492     6.44   0.000     .0154555    .0290003
                white |  -.0035584   .0067853    -0.52   0.600    -.0168811    .0097643
                black |   -.034544   .0078946    -4.38   0.000    -.0500449   -.0190431
        race_hispanic |   .0068541   .0091395     0.75   0.454     -.011091    .0247993
                asian |  -.0112298   .0109629    -1.02   0.306    -.0327552    .0102956
nohealthinsurance_dum |  -.0191742   .0051294    -3.74   0.000    -.0292455   -.0091028
            log_blood |    .003526   .0022608     1.56   0.119    -.0009131    .0079651
L1_firearm_death_rate |  -.0018387   .0011229    -1.64   0.102    -.0040434    .0003659
    incarcerated_rate |   .0066773   .0980172     0.07   0.946    -.1857764    .1991309
                      |
                state |
                   2  |   .0223327   .0390775     0.57   0.568    -.0543947      .09906
                   4  |  -.0295426   .0143315    -2.06   0.040    -.0576821   -.0014032
                   5  |   -.029096   .0155584    -1.87   0.062    -.0596445    .0014525
                   6  |  -.0170187   .0145641    -1.17   0.243    -.0456149    .0115774
                   8  |   -.046659   .0192815    -2.42   0.016    -.0845176   -.0088004
                   9  |  -.0273906   .0138355    -1.98   0.048    -.0545562   -.0002251
                  10  |  -.0428572   .0382769    -1.12   0.263    -.1180127    .0322983
                  11  |  -.0614347   .0142487    -4.31   0.000    -.0894116   -.0334578
                  12  |   .0041231    .015303     0.27   0.788    -.0259239    .0341701
                  13  |  -.0098051   .0140665    -0.70   0.486    -.0374242     .017814
                  15  |  -.0356147   .0172322    -2.07   0.039    -.0694496   -.0017799
                  16  |  -.0016418   .0162617    -0.10   0.920    -.0335711    .0302875
                  17  |  -.0115187   .0166226    -0.69   0.489    -.0441567    .0211193
                  18  |  -.0171748   .0153787    -1.12   0.264    -.0473704    .0130208
                  19  |  -.0209594   .0209394    -1.00   0.317    -.0620732    .0201543
                  20  |  -.0132995   .0240739    -0.55   0.581    -.0605678    .0339688
                  21  |  -.0061497   .0188021    -0.33   0.744    -.0430671    .0307678
                  22  |  -.0169866   .0166486    -1.02   0.308    -.0496757    .0157025
                  23  |  -.0186355   .0265561    -0.70   0.483    -.0707775    .0335066
                  24  |  -.0440072   .0147362    -2.99   0.003    -.0729412   -.0150731
                  25  |  -.0257245   .0172289    -1.49   0.136    -.0595528    .0081039
                  26  |   -.041839   .0141802    -2.95   0.003    -.0696813   -.0139966
                  27  |  -.0225561   .0170065    -1.33   0.185    -.0559479    .0108356
                  28  |  -.0028435   .0207169    -0.14   0.891    -.0435206    .0378336
                  29  |  -.0152058   .0148925    -1.02   0.308    -.0444467    .0140351
                  30  |  -.0447744   .0232412    -1.93   0.054    -.0904078     .000859
                  31  |   .0207552   .0258469     0.80   0.422    -.0299944    .0715047
                  32  |  -.0143438   .0198719    -0.72   0.471    -.0533617    .0246742
                  33  |  -.0072061   .0154813    -0.47   0.642    -.0376031    .0231909
                  34  |  -.0308091   .0182403    -1.69   0.092    -.0666233    .0050051
                  35  |  -.0402712   .0165967    -2.43   0.016    -.0728583    -.007684
                  36  |  -.0107119   .0144835    -0.74   0.460    -.0391499     .017726
                  37  |  -.0133833   .0157714    -0.85   0.396      -.04435    .0175834
                  38  |   .0078896   .0253245     0.31   0.755    -.0418342    .0576133
                  39  |  -.0321987   .0155882    -2.07   0.039    -.0628056   -.0015918
                  40  |  -.0341545   .0173087    -1.97   0.049    -.0681396   -.0001694
                  41  |  -.0275602   .0225506    -1.22   0.222    -.0718377    .0167173
                  42  |   -.039485   .0153325    -2.58   0.010      -.06959   -.0093801
                  44  |  -.0430835   .0138369    -3.11   0.002    -.0702519   -.0159152
                  45  |    .019125    .022784     0.84   0.402    -.0256107    .0638606
                  46  |   .0260596    .035995     0.72   0.469    -.0446154    .0967346
                  47  |    -.02303   .0164846    -1.40   0.163     -.055397    .0093369
                  48  |  -.0148014   .0147491    -1.00   0.316    -.0437607     .014158
                  49  |  -.0038786   .0168853    -0.23   0.818    -.0370324    .0292751
                  50  |  -.0069998   .0198848    -0.35   0.725    -.0460431    .0320434
                  51  |  -.0242327   .0148037    -1.64   0.102    -.0532993    .0048338
                  53  |  -.0183443    .015056    -1.22   0.223    -.0479064    .0112177
                  54  |  -.0600567   .0190904    -3.15   0.002    -.0975401   -.0225734
                  55  |   -.032108   .0161434    -1.99   0.047    -.0638049    -.000411
                  56  |  -.0396892   .0308402    -1.29   0.199    -.1002431    .0208646
                      |
                _cons |   .0849237   .0341418     2.49   0.013     .0178874    .1519601
---------------------------------------------------------------------------------------
(est6 stored)

. 
. eststo: reg donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year if year == 2020 , cluster(czone)  
note: 2020.year omitted because of collinearity

Linear regression                               Number of obs     =     48,515
                                                F(65, 678)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0209
                                                Root MSE          =     .29872

                                         (Std. Err. adjusted for 679 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0067393   .0021172    -3.18   0.002    -.0108963   -.0025822
      cz_mean_ideo5_3 |   .0197519   .0080834     2.44   0.015     .0038805    .0356234
             fb_share |  -.0525464   .0266453    -1.97   0.049    -.1048637   -.0002291
                  age |   -.001621   .0000834   -19.44   0.000    -.0017847   -.0014573
               female |  -.0253468   .0029112    -8.71   0.000    -.0310628   -.0196308
              college |   .0665188   .0072058     9.23   0.000     .0523705    .0806671
                   hs |   .0321549   .0065186     4.93   0.000     .0193557     .044954
          citizen_dum |   .0329063   .0135801     2.42   0.016     .0062421    .0595705
          income_100k |   .0248313   .0035679     6.96   0.000     .0178257    .0318368
           income_50k |   .0224779   .0034613     6.49   0.000     .0156819     .029274
                white |  -.0035809   .0067923    -0.53   0.598    -.0169173    .0097555
                black |  -.0354091   .0078851    -4.49   0.000    -.0508913   -.0199269
        race_hispanic |   .0067493   .0091301     0.74   0.460    -.0111774    .0246761
                asian |  -.0109409   .0109515    -1.00   0.318    -.0324439    .0105621
nohealthinsurance_dum |  -.0190277   .0051249    -3.71   0.000    -.0290901   -.0089652
            log_blood |   .0032287   .0022475     1.44   0.151    -.0011842    .0076415
L1_firearm_death_rate |  -.0018699   .0011243    -1.66   0.097    -.0040774    .0003377
    incarcerated_rate |    .006549   .0980491     0.07   0.947    -.1859673    .1990653
                      |
                state |
                   2  |   .0218039   .0389913     0.56   0.576    -.0547542     .098362
                   4  |  -.0302104   .0143029    -2.11   0.035    -.0582937   -.0021271
                   5  |  -.0296204    .015554    -1.90   0.057    -.0601602    .0009193
                   6  |  -.0179103   .0145332    -1.23   0.218    -.0464457    .0106252
                   8  |  -.0471543   .0192844    -2.45   0.015    -.0850186     -.00929
                   9  |  -.0282947    .013824    -2.05   0.041    -.0554376   -.0011518
                  10  |   -.043759    .038255    -1.14   0.253    -.1188716    .0313535
                  11  |  -.0625541   .0142543    -4.39   0.000    -.0905419   -.0345662
                  12  |   .0034407   .0152756     0.23   0.822    -.0265524    .0334338
                  13  |    -.01015   .0140346    -0.72   0.470    -.0377065    .0174066
                  15  |  -.0368177   .0172796    -2.13   0.033    -.0707457   -.0028897
                  16  |  -.0021364   .0162417    -0.13   0.895    -.0340265    .0297538
                  17  |  -.0119048   .0165755    -0.72   0.473    -.0444503    .0206408
                  18  |  -.0176466   .0153619    -1.15   0.251    -.0478092    .0125159
                  19  |  -.0214727   .0208891    -1.03   0.304    -.0624879    .0195424
                  20  |  -.0140617    .024121    -0.58   0.560    -.0614224    .0332991
                  21  |  -.0065199   .0187748    -0.35   0.728    -.0433836    .0303437
                  22  |  -.0170905   .0166132    -1.03   0.304    -.0497101     .015529
                  23  |   -.019449   .0265325    -0.73   0.464    -.0715447    .0326467
                  24  |  -.0443933   .0146957    -3.02   0.003    -.0732478   -.0155389
                  25  |  -.0265082   .0171677    -1.54   0.123    -.0602165       .0072
                  26  |  -.0423967   .0141616    -2.99   0.003    -.0702025   -.0145909
                  27  |  -.0230803   .0169785    -1.36   0.174    -.0564172    .0102565
                  28  |  -.0029334   .0207827    -0.14   0.888    -.0437396    .0378728
                  29  |   -.015598   .0148699    -1.05   0.295    -.0447946    .0135987
                  30  |  -.0454391   .0232673    -1.95   0.051    -.0911237    .0002455
                  31  |   .0201973   .0258263     0.78   0.434    -.0305119    .0709065
                  32  |  -.0153474   .0198891    -0.77   0.441    -.0543991    .0237043
                  33  |  -.0081233   .0154375    -0.53   0.599    -.0384343    .0221877
                  34  |  -.0314345   .0182793    -1.72   0.086    -.0673254    .0044563
                  35  |  -.0411222   .0165659    -2.48   0.013    -.0736488   -.0085956
                  36  |  -.0113381   .0144689    -0.78   0.434    -.0397474    .0170713
                  37  |  -.0138188   .0157467    -0.88   0.380    -.0447369    .0170993
                  38  |   .0073488   .0253408     0.29   0.772    -.0424071    .0571046
                  39  |  -.0327352   .0155782    -2.10   0.036    -.0633225   -.0021478
                  40  |  -.0343173   .0172987    -1.98   0.048    -.0682827   -.0003518
                  41  |  -.0286012   .0225794    -1.27   0.206    -.0729352    .0157327
                  42  |  -.0399638   .0153258    -2.61   0.009    -.0700555    -.009872
                  44  |  -.0440614   .0138273    -3.19   0.002     -.071211   -.0169119
                  45  |   .0188673   .0227493     0.83   0.407    -.0258002    .0635348
                  46  |   .0256609   .0359832     0.71   0.476     -.044991    .0963128
                  47  |   -.023424   .0164473    -1.42   0.155    -.0557177    .0088698
                  48  |  -.0152674   .0147333    -1.04   0.300    -.0441958     .013661
                  49  |   -.004367   .0168073    -0.26   0.795    -.0373676    .0286337
                  50  |  -.0079081   .0199368    -0.40   0.692    -.0470534    .0312373
                  51  |  -.0246275   .0147762    -1.67   0.096    -.0536401    .0043851
                  53  |  -.0190028   .0150119    -1.27   0.206    -.0484781    .0104725
                  54  |  -.0605747   .0190855    -3.17   0.002    -.0980486   -.0231009
                  55  |  -.0325532   .0161666    -2.01   0.044    -.0642958   -.0008107
                  56  |  -.0402546   .0307934    -1.31   0.192    -.1007166    .0202073
                      |
                 year |
                2020  |          0  (omitted)
                      |
                _cons |   .0857124    .034154     2.51   0.012     .0186521    .1527728
---------------------------------------------------------------------------------------
(est7 stored)

. eststo: reg donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state i.year if year == 2020, cluster(czone)  
note: 2020.year omitted because of collinearity

Linear regression                               Number of obs     =     48,515
                                                F(66, 678)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0211
                                                Root MSE          =     .29871

                                         (Std. Err. adjusted for 679 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0068447   .0021037    -3.25   0.001    -.0109752   -.0027142
              ideo5_3 |   .0029132    .001448     2.01   0.045       .00007    .0057564
      cz_mean_ideo5_3 |   .0172855   .0080728     2.14   0.033     .0014349    .0331361
             fb_share |  -.0549915   .0264433    -2.08   0.038    -.1069121   -.0030709
                  age |  -.0016608   .0000858   -19.36   0.000    -.0018292   -.0014924
               female |  -.0248885   .0029391    -8.47   0.000    -.0306594   -.0191176
              college |   .0678397    .007215     9.40   0.000     .0536734    .0820061
                   hs |   .0324506   .0065249     4.97   0.000     .0196392     .045262
          citizen_dum |   .0330687   .0135684     2.44   0.015     .0064277    .0597098
          income_100k |   .0243787   .0035062     6.95   0.000     .0174944    .0312629
           income_50k |   .0222279   .0034492     6.44   0.000     .0154555    .0290003
                white |  -.0035584   .0067853    -0.52   0.600    -.0168811    .0097643
                black |   -.034544   .0078946    -4.38   0.000    -.0500449   -.0190431
        race_hispanic |   .0068541   .0091395     0.75   0.454     -.011091    .0247993
                asian |  -.0112298   .0109629    -1.02   0.306    -.0327552    .0102956
nohealthinsurance_dum |  -.0191742   .0051294    -3.74   0.000    -.0292455   -.0091028
            log_blood |    .003526   .0022608     1.56   0.119    -.0009131    .0079651
L1_firearm_death_rate |  -.0018387   .0011229    -1.64   0.102    -.0040434    .0003659
    incarcerated_rate |   .0066773   .0980172     0.07   0.946    -.1857764    .1991309
                      |
                state |
                   2  |   .0223327   .0390775     0.57   0.568    -.0543947      .09906
                   4  |  -.0295426   .0143315    -2.06   0.040    -.0576821   -.0014032
                   5  |   -.029096   .0155584    -1.87   0.062    -.0596445    .0014525
                   6  |  -.0170187   .0145641    -1.17   0.243    -.0456149    .0115774
                   8  |   -.046659   .0192815    -2.42   0.016    -.0845176   -.0088004
                   9  |  -.0273906   .0138355    -1.98   0.048    -.0545562   -.0002251
                  10  |  -.0428572   .0382769    -1.12   0.263    -.1180127    .0322983
                  11  |  -.0614347   .0142487    -4.31   0.000    -.0894116   -.0334578
                  12  |   .0041231    .015303     0.27   0.788    -.0259239    .0341701
                  13  |  -.0098051   .0140665    -0.70   0.486    -.0374242     .017814
                  15  |  -.0356147   .0172322    -2.07   0.039    -.0694496   -.0017799
                  16  |  -.0016418   .0162617    -0.10   0.920    -.0335711    .0302875
                  17  |  -.0115187   .0166226    -0.69   0.489    -.0441567    .0211193
                  18  |  -.0171748   .0153787    -1.12   0.264    -.0473704    .0130208
                  19  |  -.0209594   .0209394    -1.00   0.317    -.0620732    .0201543
                  20  |  -.0132995   .0240739    -0.55   0.581    -.0605678    .0339688
                  21  |  -.0061497   .0188021    -0.33   0.744    -.0430671    .0307678
                  22  |  -.0169866   .0166486    -1.02   0.308    -.0496757    .0157025
                  23  |  -.0186355   .0265561    -0.70   0.483    -.0707775    .0335066
                  24  |  -.0440072   .0147362    -2.99   0.003    -.0729412   -.0150731
                  25  |  -.0257245   .0172289    -1.49   0.136    -.0595528    .0081039
                  26  |   -.041839   .0141802    -2.95   0.003    -.0696813   -.0139966
                  27  |  -.0225561   .0170065    -1.33   0.185    -.0559479    .0108356
                  28  |  -.0028435   .0207169    -0.14   0.891    -.0435206    .0378336
                  29  |  -.0152058   .0148925    -1.02   0.308    -.0444467    .0140351
                  30  |  -.0447744   .0232412    -1.93   0.054    -.0904078     .000859
                  31  |   .0207552   .0258469     0.80   0.422    -.0299944    .0715047
                  32  |  -.0143438   .0198719    -0.72   0.471    -.0533617    .0246742
                  33  |  -.0072061   .0154813    -0.47   0.642    -.0376031    .0231909
                  34  |  -.0308091   .0182403    -1.69   0.092    -.0666233    .0050051
                  35  |  -.0402712   .0165967    -2.43   0.016    -.0728583    -.007684
                  36  |  -.0107119   .0144835    -0.74   0.460    -.0391499     .017726
                  37  |  -.0133833   .0157714    -0.85   0.396      -.04435    .0175834
                  38  |   .0078896   .0253245     0.31   0.755    -.0418342    .0576133
                  39  |  -.0321987   .0155882    -2.07   0.039    -.0628056   -.0015918
                  40  |  -.0341545   .0173087    -1.97   0.049    -.0681396   -.0001694
                  41  |  -.0275602   .0225506    -1.22   0.222    -.0718377    .0167173
                  42  |   -.039485   .0153325    -2.58   0.010      -.06959   -.0093801
                  44  |  -.0430835   .0138369    -3.11   0.002    -.0702519   -.0159152
                  45  |    .019125    .022784     0.84   0.402    -.0256107    .0638606
                  46  |   .0260596    .035995     0.72   0.469    -.0446154    .0967346
                  47  |    -.02303   .0164846    -1.40   0.163     -.055397    .0093369
                  48  |  -.0148014   .0147491    -1.00   0.316    -.0437607     .014158
                  49  |  -.0038786   .0168853    -0.23   0.818    -.0370324    .0292751
                  50  |  -.0069998   .0198848    -0.35   0.725    -.0460431    .0320434
                  51  |  -.0242327   .0148037    -1.64   0.102    -.0532993    .0048338
                  53  |  -.0183443    .015056    -1.22   0.223    -.0479064    .0112177
                  54  |  -.0600567   .0190904    -3.15   0.002    -.0975401   -.0225734
                  55  |   -.032108   .0161434    -1.99   0.047    -.0638049    -.000411
                  56  |  -.0396892   .0308402    -1.29   0.199    -.1002431    .0208646
                      |
                 year |
                2020  |          0  (omitted)
                      |
                _cons |   .0849237   .0341418     2.49   0.013     .0178874    .1519601
---------------------------------------------------------------------------------------
(est8 stored)

. 
. esttab using "TableA11.tex", label keep(dist_st_ideo5_3 st_mean_ideo5_3 dist_cz_ideo5_3 cz_mean_ide
> o5_3 ideo5_3 fb_share age female college hs citizen_dum income_100k income_50k nohealthinsurance_du
> m log_blood L1_firearm_death_rate incarcerated_rate) order(dist_st_ideo5_3 st_mean_ideo5_3 dist_cz_
> ideo5_3 cz_mean_ideo5_3 ideo5_3 fb_share age female college hs citizen_dum income_100k income_50k n
> ohealthinsurance_dum log_blood L1_firearm_death_rate incarcerated_rate) nonotes se(3) b(3) replace 
> star(+ 0.10 * 0.05 ** 0.01) compress nogaps nodepvars indicate("State FE = *state*" "Year FE = *yea
> r*") 
(output written to TableA11.tex)

. 
. * Table A12: Social Diversity and Blood Donation, By Age: 2020 Only
.         
. eststo clear

. 
. * Age < 40
. eststo: reg donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year if age < 40 & year == 2020, cluster(state)  
note: 56.state omitted because of collinearity
note: 2020.year omitted because of collinearity

Linear regression                               Number of obs     =     12,836
                                                F(16, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0127
                                                Root MSE          =     .33378

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0087578    .005071    -1.73   0.090    -.0189432    .0014275
      st_mean_ideo5_3 |  -.6470335   .0640108   -10.11   0.000    -.7756029   -.5184641
             fb_share |  -.0848493    .045849    -1.85   0.070    -.1769397     .007241
                  age |  -.0017963   .0004313    -4.17   0.000    -.0026626   -.0009301
               female |  -.0298306    .006055    -4.93   0.000    -.0419926   -.0176687
              college |   .0683212   .0160644     4.25   0.000     .0360548    .1005875
                   hs |   .0418618   .0154933     2.70   0.009     .0107425     .072981
          citizen_dum |   .0324726   .0171035     1.90   0.063    -.0018809     .066826
          income_100k |   .0032076   .0077328     0.41   0.680    -.0123243    .0187395
           income_50k |   .0109009   .0093116     1.17   0.247    -.0078021    .0296039
                white |   .0072731     .01432     0.51   0.614    -.0214894    .0360356
                black |  -.0146175   .0150507    -0.97   0.336    -.0448477    .0156127
        race_hispanic |   .0100563   .0150806     0.67   0.508    -.0202341    .0403466
                asian |   .0092474   .0187923     0.49   0.625     -.028498    .0469928
nohealthinsurance_dum |  -.0236826    .009299    -2.55   0.014    -.0423601    -.005005
            log_blood |   .0087187   .0052219     1.67   0.101    -.0017698    .0192072
L1_firearm_death_rate |  -.0030127   .0044576    -0.68   0.502    -.0119659    .0059406
    incarcerated_rate |   .2692621   .2240979     1.20   0.235    -.1808518     .719376
                      |
                state |
                   2  |   .0297922   .0116912     2.55   0.014     .0063098    .0532746
                   4  |  -.0502078   .0131611    -3.81   0.000    -.0766426   -.0237731
                   5  |  -.0062115   .0085306    -0.73   0.470    -.0233457    .0109228
                   6  |  -.3072078    .033844    -9.08   0.000    -.3751854   -.2392303
                   8  |  -.2512898   .0288864    -8.70   0.000    -.3093098   -.1932698
                   9  |  -.2774777   .0325064    -8.54   0.000    -.3427688   -.2121867
                  10  |  -.1906746   .0229601    -8.30   0.000    -.2367912    -.144558
                  11  |  -.6991708   .0705405    -9.91   0.000    -.8408555   -.5574861
                  12  |   -.065379   .0136178    -4.80   0.000    -.0927312   -.0380269
                  13  |  -.0426868   .0143458    -2.98   0.004    -.0715013   -.0138724
                  15  |  -.2733707   .0383853    -7.12   0.000    -.3504698   -.1962716
                  16  |   .0228243   .0091136     2.50   0.016     .0045191    .0411294
                  17  |  -.2530734   .0318519    -7.95   0.000    -.3170499   -.1890969
                  18  |  -.1220907   .0167013    -7.31   0.000    -.1556362   -.0885451
                  19  |  -.1272221    .022511    -5.65   0.000    -.1724368   -.0820073
                  20  |  -.0890926   .0194401    -4.58   0.000    -.1281391   -.0500461
                  21  |  -.0297902   .0129198    -2.31   0.025    -.0557404   -.0038401
                  22  |  -.0688983   .0115217    -5.98   0.000    -.0920403   -.0457562
                  23  |    -.20897   .0284989    -7.33   0.000    -.2662117   -.1517283
                  24  |  -.2969896   .0301073    -9.86   0.000    -.3574618   -.2365173
                  25  |  -.3840629    .042237    -9.09   0.000    -.4688983   -.2992275
                  26  |  -.2253425   .0244763    -9.21   0.000    -.2745046   -.1761804
                  27  |  -.2471162   .0332929    -7.42   0.000     -.313987   -.1802453
                  28  |     .05061   .0077213     6.55   0.000     .0351013    .0661188
                  29  |  -.1071575   .0187032    -5.73   0.000     -.144724   -.0695909
                  30  |   -.172351   .0199824    -8.63   0.000    -.2124868   -.1322152
                  31  |  -.1424599   .0250283    -5.69   0.000    -.1927307   -.0921891
                  32  |  -.1212475   .0220026    -5.51   0.000     -.165441   -.0770541
                  33  |  -.2080496   .0296259    -7.02   0.000     -.267555   -.1485441
                  34  |  -.2214174   .0262209    -8.44   0.000    -.2740836   -.1687512
                  35  |  -.1856773   .0227818    -8.15   0.000    -.2314358   -.1399188
                  36  |  -.2927092   .0343338    -8.53   0.000    -.3616707   -.2237478
                  37  |  -.1037498   .0168282    -6.17   0.000    -.1375501   -.0699494
                  38  |  -.0249305   .0070498    -3.54   0.001    -.0390904   -.0107707
                  39  |  -.1968812   .0236626    -8.32   0.000    -.2444089   -.1493534
                  40  |     -.0589   .0035684   -16.51   0.000    -.0660674   -.0517326
                  41  |  -.3931416   .0432611    -9.09   0.000     -.480034   -.3062492
                  42  |  -.1445659   .0189425    -7.63   0.000     -.182613   -.1065187
                  44  |  -.3066483   .0354718    -8.64   0.000    -.3778955   -.2354012
                  45  |   .0368289   .0105057     3.51   0.001     .0157276    .0579301
                  46  |   .2249859   .0078079    28.82   0.000     .2093032    .2406685
                  47  |  -.0152337   .0105399    -1.45   0.155    -.0364037    .0059363
                  48  |  -.0832199   .0154559    -5.38   0.000    -.1142639   -.0521758
                  49  |  -.0968406   .0175058    -5.53   0.000     -.132002   -.0616793
                  50  |  -.3639929   .0512666    -7.10   0.000    -.4669648   -.2610209
                  51  |   -.232475   .0249266    -9.33   0.000    -.2825416   -.1824084
                  53  |  -.2961766   .0357829    -8.28   0.000    -.3680487   -.2243044
                  54  |   -.008682   .0035164    -2.47   0.017    -.0157449    -.001619
                  55  |    -.19062   .0219098    -8.70   0.000    -.2346271   -.1466129
                  56  |          0  (omitted)
                      |
                 year |
                2020  |          0  (omitted)
                      |
                _cons |    2.19043   .2071616    10.57   0.000     1.774333    2.606526
---------------------------------------------------------------------------------------
(est1 stored)

. eststo: reg donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state i.year if age < 40 & year == 2020, cluster(state)  
note: 56.state omitted because of collinearity
note: 2020.year omitted because of collinearity

Linear regression                               Number of obs     =     12,836
                                                F(17, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0128
                                                Root MSE          =     .33379

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |   -.009637   .0053647    -1.80   0.078    -.0204124    .0011383
              ideo5_3 |   -.002054   .0025191    -0.82   0.419    -.0071137    .0030058
      st_mean_ideo5_3 |  -.6486793   .0642487   -10.10   0.000    -.7777267    -.519632
             fb_share |  -.0850429   .0458208    -1.86   0.069    -.1770766    .0069908
                  age |  -.0017735   .0004321    -4.10   0.000    -.0026413   -.0009056
               female |  -.0299636    .006071    -4.94   0.000    -.0421576   -.0177695
              college |   .0674015    .016157     4.17   0.000     .0349491    .0998539
                   hs |    .041491   .0155719     2.66   0.010      .010214    .0727681
          citizen_dum |   .0323621   .0171424     1.89   0.065    -.0020694    .0667935
          income_100k |   .0034101   .0077422     0.44   0.662    -.0121405    .0189606
           income_50k |   .0110202   .0093219     1.18   0.243    -.0077034    .0297438
                white |   .0076093   .0143449     0.53   0.598    -.0212032    .0364219
                black |    -.01447   .0150573    -0.96   0.341    -.0447134    .0157734
        race_hispanic |   .0103383   .0151182     0.68   0.497    -.0200276    .0407042
                asian |   .0095953   .0186542     0.51   0.609    -.0278728    .0470635
nohealthinsurance_dum |  -.0236635   .0092934    -2.55   0.014    -.0423299   -.0049971
            log_blood |   .0084127    .005202     1.62   0.112    -.0020358    .0188613
L1_firearm_death_rate |  -.0030421   .0044635    -0.68   0.499    -.0120074    .0059231
    incarcerated_rate |   .2717394   .2243173     1.21   0.231    -.1788151    .7222939
                      |
                state |
                   2  |   .0292658   .0117448     2.49   0.016     .0056758    .0528558
                   4  |  -.0510127   .0132396    -3.85   0.000    -.0776053   -.0244202
                   5  |  -.0065731   .0085423    -0.77   0.445    -.0237307    .0105845
                   6  |  -.3087926   .0339775    -9.09   0.000    -.3770383   -.2405469
                   8  |   -.252625   .0290536    -8.70   0.000    -.3109809   -.1942691
                   9  |  -.2795345   .0327321    -8.54   0.000    -.3452789   -.2137901
                  10  |  -.1917314   .0230629    -8.31   0.000    -.2380545   -.1454083
                  11  |   -.702384   .0709581    -9.90   0.000    -.8449076   -.5598604
                  12  |  -.0660007   .0136786    -4.83   0.000    -.0934749   -.0385264
                  13  |  -.0433659   .0143894    -3.01   0.004    -.0722678   -.0144641
                  15  |  -.2751616     .03844    -7.16   0.000    -.3523708   -.1979525
                  16  |   .0220524   .0091833     2.40   0.020     .0036072    .0404976
                  17  |  -.2542471   .0320013    -7.94   0.000    -.3185236   -.1899706
                  18  |  -.1229288   .0167936    -7.32   0.000    -.1566597   -.0891979
                  19  |  -.1281141   .0226228    -5.66   0.000    -.1735533   -.0826748
                  20  |  -.0904675   .0195806    -4.62   0.000    -.1297964   -.0511387
                  21  |  -.0305132   .0129955    -2.35   0.023    -.0566154    -.004411
                  22  |  -.0695079   .0115682    -6.01   0.000    -.0927433   -.0462724
                  23  |  -.2108888   .0287074    -7.35   0.000    -.2685493   -.1532284
                  24  |  -.2984296    .030261    -9.86   0.000    -.3592105   -.2376487
                  25  |  -.3862429   .0424975    -9.09   0.000    -.4716017   -.3008841
                  26  |  -.2267147   .0246148    -9.21   0.000     -.276155   -.1772743
                  27  |   -.248543   .0334624    -7.43   0.000    -.3157542   -.1813318
                  28  |   .0502377   .0077151     6.51   0.000     .0347415    .0657339
                  29  |  -.1081401   .0188133    -5.75   0.000    -.1459278   -.0703525
                  30  |  -.1736174   .0201207    -8.63   0.000    -.2140311   -.1332037
                  31  |  -.1440727   .0252166    -5.71   0.000    -.1947217   -.0934237
                  32  |  -.1221765   .0220649    -5.54   0.000    -.1664952   -.0778578
                  33  |  -.2100909    .029857    -7.04   0.000    -.2700605   -.1501214
                  34  |  -.2225595   .0263276    -8.45   0.000      -.27544   -.1696791
                  35  |  -.1872553    .022974    -8.15   0.000       -.2334   -.1411107
                  36  |  -.2942716   .0345026    -8.53   0.000    -.3635722   -.2249711
                  37  |  -.1047162   .0169227    -6.19   0.000    -.1387065    -.070726
                  38  |  -.0253572   .0071083    -3.57   0.001    -.0396346   -.0110798
                  39  |  -.1981249   .0238049    -8.32   0.000    -.2459385   -.1503114
                  40  |  -.0589729   .0035732   -16.50   0.000    -.0661499   -.0517959
                  41  |  -.3956961   .0435507    -9.09   0.000    -.4831703   -.3082219
                  42  |  -.1454617   .0190499    -7.64   0.000    -.1837246   -.1071988
                  44  |  -.3084751   .0356905    -8.64   0.000    -.3801616   -.2367887
                  45  |   .0362416   .0105459     3.44   0.001     .0150596    .0574236
                  46  |   .2254618   .0078709    28.65   0.000     .2096527    .2412709
                  47  |  -.0155212   .0105595    -1.47   0.148    -.0367306    .0056882
                  48  |  -.0838512   .0155216    -5.40   0.000    -.1150273    -.052675
                  49  |  -.0976885   .0176099    -5.55   0.000    -.1330589    -.062318
                  50  |   -.366198   .0514938    -7.11   0.000    -.4696264   -.2627696
                  51  |  -.2337748   .0250665    -9.33   0.000    -.2841225   -.1834272
                  53  |   -.297941   .0359695    -8.28   0.000    -.3701879   -.2256942
                  54  |  -.0089797   .0035004    -2.57   0.013    -.0160105    -.001949
                  55  |  -.1917517   .0220562    -8.69   0.000    -.2360529   -.1474506
                  56  |          0  (omitted)
                      |
                 year |
                2020  |          0  (omitted)
                      |
                _cons |   2.202692   .2090271    10.54   0.000     1.782848    2.622535
---------------------------------------------------------------------------------------
(est2 stored)

. 
. eststo: reg donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year if age < 40 & year == 2020, cluster(czone)  
note: 2020.year omitted because of collinearity

Linear regression                               Number of obs     =     12,836
                                                F(65, 561)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0131
                                                Root MSE          =     .33374

                                         (Std. Err. adjusted for 562 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0094556   .0047853    -1.98   0.049    -.0188548   -.0000563
      cz_mean_ideo5_3 |   .0347795   .0171708     2.03   0.043     .0010527    .0685063
             fb_share |  -.0456827   .0533743    -0.86   0.392    -.1505206    .0591552
                  age |    -.00182    .000529    -3.44   0.001    -.0028591   -.0007808
               female |  -.0298867   .0068979    -4.33   0.000    -.0434356   -.0163378
              college |   .0695074   .0176943     3.93   0.000     .0347522    .1042626
                   hs |   .0423757   .0170048     2.49   0.013     .0089748    .0757765
          citizen_dum |   .0320677   .0171278     1.87   0.062    -.0015747    .0657101
          income_100k |   .0036865   .0075884     0.49   0.627    -.0112187    .0185917
           income_50k |   .0113201   .0070113     1.61   0.107    -.0024516    .0250918
                white |   .0074264   .0127448     0.58   0.560    -.0176069    .0324597
                black |  -.0139919   .0158263    -0.88   0.377    -.0450781    .0170942
        race_hispanic |   .0098411   .0166335     0.59   0.554    -.0228304    .0425127
                asian |   .0093594   .0149392     0.63   0.531    -.0199842    .0387031
nohealthinsurance_dum |  -.0238485   .0098891    -2.41   0.016    -.0432727   -.0044243
            log_blood |   .0104299   .0052641     1.98   0.048     .0000902    .0207696
L1_firearm_death_rate |  -.0032735   .0037552    -0.87   0.384    -.0106496    .0041026
    incarcerated_rate |   .2388731   .2524758     0.95   0.344    -.2570403    .7347865
                      |
                state |
                   2  |    .049057   .0609394     0.81   0.421    -.0706402    .1687543
                   4  |  -.0054033   .0437856    -0.12   0.902     -.091407    .0806005
                   5  |  -.0198525   .0489047    -0.41   0.685    -.1159113    .0762062
                   6  |  -.0201472   .0437344    -0.46   0.645    -.1060504     .065756
                   8  |   -.047916   .0445054    -1.08   0.282    -.1353336    .0395016
                   9  |  -.0240093   .0431051    -0.56   0.578    -.1086764    .0606578
                  10  |  -.0584953   .0529186    -1.11   0.269    -.1624381    .0454476
                  11  |  -.0465263   .0440863    -1.06   0.292    -.1331206    .0400679
                  12  |    .007748    .044324     0.17   0.861    -.0793133    .0948092
                  13  |   .0100019   .0445753     0.22   0.823     -.077553    .0975568
                  15  |   .0267521   .0563693     0.47   0.635    -.0839686    .1374728
                  16  |   .0164953   .0526912     0.31   0.754    -.0870008    .1199914
                  17  |  -.0220149   .0467313    -0.47   0.638    -.1138046    .0697749
                  18  |  -.0352436   .0476381    -0.74   0.460    -.1288144    .0583272
                  19  |   .0068669   .0479828     0.14   0.886    -.0873809    .1011148
                  20  |    .012385   .0606468     0.20   0.838    -.1067376    .1315076
                  21  |  -.0000151   .0472861    -0.00   1.000    -.0928945    .0928643
                  22  |  -.0648654   .0495655    -1.31   0.191     -.162222    .0324912
                  23  |  -.0064327   .0589001    -0.11   0.913    -.1221244     .109259
                  24  |   -.071942    .045762    -1.57   0.116    -.1618278    .0179437
                  25  |  -.0310495   .0490575    -0.63   0.527    -.1274082    .0653093
                  26  |  -.0672395   .0446104    -1.51   0.132    -.1548632    .0203843
                  27  |  -.0031047   .0486074    -0.06   0.949    -.0985794    .0923699
                  28  |   .0138494   .0487554     0.28   0.776    -.0819159    .1096147
                  29  |  -.0211893   .0456217    -0.46   0.643    -.1107996     .068421
                  30  |  -.0674354   .0676989    -1.00   0.320    -.2004097    .0655389
                  31  |   .0268981   .0489951     0.55   0.583    -.0693382    .1231345
                  32  |    .020886   .0434836     0.48   0.631    -.0645245    .1062965
                  33  |   .0085675   .0451862     0.19   0.850    -.0801873    .0973222
                  34  |  -.0402901   .0440185    -0.92   0.360    -.1267514    .0461712
                  35  |  -.0390612    .049493    -0.79   0.430    -.1362755    .0581531
                  36  |  -.0222095   .0456987    -0.49   0.627     -.111971    .0675519
                  37  |  -.0110405   .0447884    -0.25   0.805     -.099014     .076933
                  38  |  -.0526731   .0555304    -0.95   0.343    -.1617459    .0563997
                  39  |  -.0515158   .0462404    -1.11   0.266    -.1423413    .0393098
                  40  |  -.0709809   .0468444    -1.52   0.130    -.1629927    .0210309
                  41  |  -.0285553   .0458143    -0.62   0.533    -.1185439    .0614332
                  42  |  -.0532232   .0449933    -1.18   0.237    -.1415992    .0351527
                  44  |  -.0304457   .0432543    -0.70   0.482    -.1154059    .0545146
                  45  |   .0421935   .0474695     0.89   0.374    -.0510461    .1354332
                  46  |   .0508297   .0655525     0.78   0.438    -.0779286    .1795881
                  47  |  -.0144153   .0453997    -0.32   0.751    -.1035895    .0747589
                  48  |  -.0178306   .0444808    -0.40   0.689    -.1051998    .0695386
                  49  |  -.0108863   .0437961    -0.25   0.804    -.0969107     .075138
                  50  |   .0698103   .0816123     0.86   0.393    -.0904927    .2301132
                  51  |  -.0511713   .0437386    -1.17   0.243    -.1370827    .0347401
                  53  |  -.0120928   .0452326    -0.27   0.789    -.1009388    .0767531
                  54  |  -.0904498   .0495001    -1.83   0.068     -.187678    .0067783
                  55  |  -.0388753   .0474627    -0.82   0.413    -.1321017     .054351
                  56  |  -.0942518   .0699325    -1.35   0.178    -.2316132    .0431097
                      |
                 year |
                2020  |          0  (omitted)
                      |
                _cons |   .0325006   .0751828     0.43   0.666    -.1151737    .1801748
---------------------------------------------------------------------------------------
(est3 stored)

. eststo: reg donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state i.year if age < 40 & year == 2020, cluster(czone)  
note: 2020.year omitted because of collinearity

Linear regression                               Number of obs     =     12,836
                                                F(66, 561)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0132
                                                Root MSE          =     .33374

                                         (Std. Err. adjusted for 562 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0107287   .0050357    -2.13   0.034    -.0206198   -.0008375
              ideo5_3 |  -.0029386   .0024753    -1.19   0.236    -.0078007    .0019234
      cz_mean_ideo5_3 |   .0376301   .0171454     2.19   0.029      .003953    .0713071
             fb_share |  -.0427711   .0533456    -0.80   0.423    -.1475526    .0620103
                  age |  -.0017888    .000532    -3.36   0.001    -.0028338   -.0007439
               female |  -.0300842   .0069389    -4.34   0.000    -.0437137   -.0164547
              college |   .0682746   .0179049     3.81   0.000     .0331059    .1034434
                   hs |   .0418845   .0170882     2.45   0.015     .0083199    .0754491
          citizen_dum |   .0318655   .0171698     1.86   0.064    -.0018594    .0655904
          income_100k |   .0040159   .0075398     0.53   0.594    -.0107938    .0188257
           income_50k |    .011523   .0069894     1.65   0.100    -.0022055    .0252516
                white |   .0079097   .0127484     0.62   0.535    -.0171307    .0329501
                black |  -.0137334   .0158089    -0.87   0.385    -.0447853    .0173185
        race_hispanic |   .0102248   .0166416     0.61   0.539    -.0224627    .0429122
                asian |   .0098683   .0149522     0.66   0.510    -.0195008    .0392374
nohealthinsurance_dum |  -.0238257   .0098837    -2.41   0.016    -.0432393   -.0044121
            log_blood |   .0101269     .00528     1.92   0.056    -.0002441    .0204979
L1_firearm_death_rate |  -.0033359   .0037499    -0.89   0.374    -.0107016    .0040297
    incarcerated_rate |   .2401759   .2526054     0.95   0.342     -.255992    .7363438
                      |
                state |
                   2  |   .0483689   .0607271     0.80   0.426    -.0709113    .1676492
                   4  |  -.0063928    .043698    -0.15   0.884    -.0922246     .079439
                   5  |  -.0205158   .0488257    -0.42   0.675    -.1164194    .0753878
                   6  |  -.0209999   .0436933    -0.48   0.631    -.1068223    .0648226
                   8  |  -.0485563   .0444609    -1.09   0.275    -.1358865    .0387738
                   9  |  -.0253663   .0430498    -0.59   0.556    -.1099248    .0591922
                  10  |  -.0594248    .053209    -1.12   0.265     -.163938    .0450885
                  11  |  -.0477518   .0440254    -1.08   0.279    -.1342266     .038723
                  12  |   .0069178   .0442636     0.16   0.876    -.0800248    .0938605
                  13  |   .0092475   .0445218     0.21   0.836    -.0782024    .0966973
                  15  |   .0258556   .0563796     0.46   0.647    -.0848852    .1365964
                  16  |   .0152979    .052534     0.29   0.771    -.0878894    .1184853
                  17  |  -.0224051   .0466628    -0.48   0.631    -.1140603      .06925
                  18  |  -.0358064   .0475985    -0.75   0.452    -.1292995    .0576867
                  19  |   .0066396   .0479308     0.14   0.890    -.0875061    .1007853
                  20  |   .0111655   .0606067     0.18   0.854    -.1078783    .1302093
                  21  |  -.0007725   .0472293    -0.02   0.987    -.0935404    .0919953
                  22  |  -.0658087   .0495295    -1.33   0.184    -.1630947    .0314772
                  23  |  -.0075234   .0590162    -0.13   0.899    -.1234432    .1083964
                  24  |  -.0726217   .0457191    -1.59   0.113    -.1624233    .0171798
                  25  |  -.0319768     .04903    -0.65   0.515    -.1282817    .0643281
                  26  |  -.0681049    .044549    -1.53   0.127    -.1556082    .0193984
                  27  |  -.0035316   .0485529    -0.07   0.942    -.0988992    .0918361
                  28  |   .0131152   .0487283     0.27   0.788    -.0825969    .1088273
                  29  |  -.0219803   .0455706    -0.48   0.630    -.1114901    .0675295
                  30  |  -.0683563   .0676601    -1.01   0.313    -.2012544    .0645418
                  31  |   .0258168   .0489952     0.53   0.598    -.0704196    .1220532
                  32  |   .0199978    .043439     0.46   0.645    -.0653252    .1053207
                  33  |   .0072562    .045104     0.16   0.872    -.0813371    .0958495
                  34  |  -.0412176   .0439554    -0.94   0.349    -.1275549    .0451197
                  35  |  -.0402913   .0494556    -0.81   0.416    -.1374321    .0568496
                  36  |  -.0230431    .045673    -0.50   0.614    -.1127542    .0666679
                  37  |  -.0117624   .0447687    -0.26   0.793    -.0996971    .0761723
                  38  |  -.0534028   .0554593    -0.96   0.336     -.162336    .0555303
                  39  |  -.0522613   .0462106    -1.13   0.259    -.1430281    .0385056
                  40  |  -.0712081   .0468174    -1.52   0.129    -.1631668    .0207507
                  41  |  -.0297929   .0457975    -0.65   0.516    -.1197484    .0601626
                  42  |  -.0539215   .0449412    -1.20   0.231    -.1421951     .034352
                  44  |   -.031645   .0431939    -0.73   0.464    -.1164866    .0531966
                  45  |   .0414044   .0474153     0.87   0.383    -.0517288    .1345375
                  46  |   .0500236   .0653245     0.77   0.444    -.0782869    .1783342
                  47  |   -.014891   .0453638    -0.33   0.743    -.1039945    .0742126
                  48  |  -.0186514   .0444458    -0.42   0.675    -.1059518    .0686491
                  49  |  -.0115253   .0437457    -0.26   0.792    -.0974507    .0744002
                  50  |   .0697308   .0819488     0.85   0.395    -.0912331    .2306948
                  51  |  -.0518714   .0436897    -1.19   0.236    -.1376867    .0339439
                  53  |  -.0127834   .0451706    -0.28   0.777    -.1015076    .0759407
                  54  |  -.0910537   .0494526    -1.84   0.066    -.1881886    .0060812
                  55  |  -.0393492   .0473881    -0.83   0.407    -.1324289    .0537306
                  56  |  -.0946431   .0706591    -1.34   0.181    -.2334319    .0441456
                      |
                 year |
                2020  |          0  (omitted)
                      |
                _cons |   .0333892   .0753017     0.44   0.658    -.1145186     .181297
---------------------------------------------------------------------------------------
(est4 stored)

.         
. * Age >= 40
. eststo: reg donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year if age >= 40 & year == 2020, cluster(state)  
note: 56.state omitted because of collinearity
note: 2020.year omitted because of collinearity

Linear regression                               Number of obs     =     35,679
                                                F(16, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0235
                                                Root MSE          =     .28496

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0053562   .0016264    -3.29   0.002     -.008623   -.0020895
      st_mean_ideo5_3 |  -.1716219   .0222533    -7.71   0.000     -.216319   -.1269248
             fb_share |  -.0718462   .0246578    -2.91   0.005    -.1213729   -.0223195
                  age |  -.0020833   .0001792   -11.62   0.000    -.0024433   -.0017233
               female |  -.0227736   .0026488    -8.60   0.000     -.028094   -.0174533
              college |    .064584   .0085104     7.59   0.000     .0474904    .0816777
                   hs |   .0273582   .0078747     3.47   0.001     .0115415     .043175
          citizen_dum |   .0297774   .0159302     1.87   0.067    -.0022194    .0617743
          income_100k |   .0303999   .0042804     7.10   0.000     .0218024    .0389974
           income_50k |   .0264411    .003511     7.53   0.000     .0193891    .0334931
                white |  -.0079679   .0095921    -0.83   0.410    -.0272342    .0112984
                black |  -.0460854    .011229    -4.10   0.000    -.0686394   -.0235313
        race_hispanic |   .0046006   .0107022     0.43   0.669    -.0168955    .0260967
                asian |  -.0266084   .0148779    -1.79   0.080    -.0564914    .0032747
nohealthinsurance_dum |  -.0206323   .0078363    -2.63   0.011     -.036372   -.0048925
            log_blood |   .0004119   .0026387     0.16   0.877    -.0048881    .0057118
L1_firearm_death_rate |  -.0014784   .0012029    -1.23   0.225    -.0038946    .0009378
    incarcerated_rate |  -.0451356   .0774245    -0.58   0.563    -.2006472     .110376
                      |
                state |
                   2  |   .0059699   .0041374     1.44   0.155    -.0023404    .0142802
                   4  |  -.0480259   .0050914    -9.43   0.000    -.0582522   -.0377996
                   5  |  -.0282738   .0023272   -12.15   0.000    -.0329481   -.0235995
                   6  |  -.0927992   .0140242    -6.62   0.000    -.1209677   -.0646308
                   8  |  -.1007976   .0092709   -10.87   0.000    -.1194187   -.0821766
                   9  |  -.0978925   .0118814    -8.24   0.000    -.1217569   -.0740281
                  10  |  -.0742173   .0072551   -10.23   0.000    -.0887897    -.059645
                  11  |   -.244748   .0255201    -9.59   0.000    -.2960065   -.1934894
                  12  |  -.0154929   .0062092    -2.50   0.016    -.0279645   -.0030213
                  13  |  -.0308318   .0050582    -6.10   0.000    -.0409916   -.0206721
                  15  |  -.1339963   .0169375    -7.91   0.000    -.1680163   -.0999764
                  16  |  -.0087582   .0025914    -3.38   0.001    -.0139631   -.0035533
                  17  |  -.0694752    .010259    -6.77   0.000     -.090081   -.0488695
                  18  |  -.0356775   .0049224    -7.25   0.000    -.0455645   -.0257905
                  19  |  -.0685388   .0067326   -10.18   0.000    -.0820617   -.0550159
                  20  |  -.0495909   .0058567    -8.47   0.000    -.0613544   -.0378275
                  21  |  -.0172007   .0030765    -5.59   0.000    -.0233801   -.0110213
                  22  |  -.0003532   .0027243    -0.13   0.897    -.0058251    .0051187
                  23  |  -.0789005   .0094863    -8.32   0.000    -.0979544   -.0598466
                  24  |  -.0913558   .0106195    -8.60   0.000    -.1126858   -.0700259
                  25  |  -.1202996    .014883    -8.08   0.000     -.150193   -.0904062
                  26  |  -.0765715    .007774    -9.85   0.000    -.0921861   -.0609569
                  27  |  -.0966883   .0103062    -9.38   0.000    -.1173889   -.0759878
                  28  |  -.0014198   .0016709    -0.85   0.400    -.0047758    .0019363
                  29  |  -.0373487   .0051372    -7.27   0.000    -.0476671   -.0270304
                  30  |  -.0702635   .0061075   -11.50   0.000    -.0825308   -.0579962
                  31  |  -.0252954   .0082493    -3.07   0.003    -.0418647   -.0087261
                  32  |  -.0660445   .0090281    -7.32   0.000     -.084178    -.047911
                  33  |  -.0715731   .0104055    -6.88   0.000     -.092473   -.0506731
                  34  |  -.0770736    .010194    -7.56   0.000    -.0975489   -.0565983
                  35  |  -.0815966   .0082122    -9.94   0.000    -.0980914   -.0651019
                  36  |  -.0793161   .0124506    -6.37   0.000    -.1043239   -.0543082
                  37  |  -.0394303   .0057151    -6.90   0.000    -.0509094   -.0279512
                  38  |   .0563189   .0021019    26.79   0.000     .0520971    .0605407
                  39  |  -.0656261    .007033    -9.33   0.000    -.0797524   -.0514999
                  40  |  -.0162951   .0013184   -12.36   0.000    -.0189433   -.0136469
                  41  |  -.1269471   .0150501    -8.43   0.000    -.1571762   -.0967181
                  42  |  -.0592646   .0053468   -11.08   0.000    -.0700039   -.0485254
                  44  |  -.1229695   .0119246   -10.31   0.000    -.1469207   -.0990182
                  45  |    .011445   .0031392     3.65   0.001     .0051397    .0177503
                  46  |   .0642615   .0033314    19.29   0.000     .0575702    .0709527
                  47  |  -.0258663    .002589    -9.99   0.000    -.0310665   -.0206661
                  48  |  -.0305775   .0057008    -5.36   0.000    -.0420279    -.019127
                  49  |  -.0201997   .0056421    -3.58   0.001    -.0315323   -.0088671
                  50  |  -.1519456   .0170807    -8.90   0.000    -.1862531   -.1176381
                  51  |  -.0630958   .0086761    -7.27   0.000    -.0805223   -.0456693
                  53  |  -.0986485   .0125822    -7.84   0.000    -.1239207   -.0733763
                  54  |  -.0296289   .0013894   -21.32   0.000    -.0324196   -.0268382
                  55  |  -.0710961   .0066214   -10.74   0.000    -.0843956   -.0577966
                  56  |          0  (omitted)
                      |
                 year |
                2020  |          0  (omitted)
                      |
                _cons |   .7283262   .0688837    10.57   0.000     .5899693    .8666831
---------------------------------------------------------------------------------------
(est5 stored)

. eststo: reg donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state i.year if age >= 40 & year == 2020, cluster(state)  
note: 56.state omitted because of collinearity
note: 2020.year omitted because of collinearity

Linear regression                               Number of obs     =     35,679
                                                F(17, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0238
                                                Root MSE          =     .28492

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0063077    .001659    -3.80   0.000    -.0096399   -.0029756
              ideo5_3 |   .0046963    .001518     3.09   0.003     .0016472    .0077454
      st_mean_ideo5_3 |  -.1684139   .0222475    -7.57   0.000    -.2130994   -.1237285
             fb_share |  -.0709189   .0245351    -2.89   0.006    -.1201991   -.0216387
                  age |  -.0021367   .0001793   -11.91   0.000    -.0024969   -.0017765
               female |  -.0219387   .0026179    -8.38   0.000    -.0271968   -.0166805
              college |   .0668434   .0085706     7.80   0.000     .0496288    .0840579
                   hs |   .0277776   .0078743     3.53   0.001     .0119615    .0435937
          citizen_dum |   .0296244   .0159553     1.86   0.069    -.0024227    .0616715
          income_100k |   .0296815   .0042626     6.96   0.000     .0211199    .0382431
           income_50k |   .0260577   .0035167     7.41   0.000     .0189943    .0331212
                white |  -.0075577   .0096063    -0.79   0.435    -.0268526    .0117371
                black |  -.0439334     .01125    -3.91   0.000    -.0665297   -.0213372
        race_hispanic |   .0051231   .0106638     0.48   0.633    -.0162959     .026542
                asian |  -.0270827   .0148198    -1.83   0.074    -.0568491    .0026837
nohealthinsurance_dum |  -.0209172   .0077617    -2.69   0.010    -.0365071   -.0053274
            log_blood |   .0010417   .0026573     0.39   0.697    -.0042956    .0063791
L1_firearm_death_rate |  -.0014684   .0012191    -1.20   0.234    -.0039169    .0009802
    incarcerated_rate |  -.0463575   .0774779    -0.60   0.552    -.2019764    .1092614
                      |
                state |
                   2  |   .0069001   .0041122     1.68   0.100    -.0013595    .0151598
                   4  |  -.0469625   .0050038    -9.39   0.000     -.057013    -.036912
                   5  |  -.0277507   .0023239   -11.94   0.000    -.0324183   -.0230831
                   6  |  -.0894516   .0138076    -6.48   0.000     -.117185   -.0617181
                   8  |  -.0983621   .0092237   -10.66   0.000    -.1168885   -.0798358
                   9  |  -.0945565    .011734    -8.06   0.000    -.1181248   -.0709881
                  10  |   -.072096   .0072242    -9.98   0.000    -.0866063   -.0575857
                  11  |  -.2390033   .0253452    -9.43   0.000    -.2899106   -.1880961
                  12  |  -.0145723   .0061004    -2.39   0.021    -.0268253   -.0023192
                  13  |  -.0303176   .0050288    -6.03   0.000    -.0404183   -.0202168
                  15  |  -.1292536    .016768    -7.71   0.000    -.1629332   -.0955741
                  16  |  -.0081928   .0025682    -3.19   0.002    -.0133513   -.0030343
                  17  |  -.0671716   .0101814    -6.60   0.000    -.0876216   -.0467215
                  18  |  -.0341977   .0049018    -6.98   0.000    -.0440432   -.0243523
                  19  |   -.066286    .006691    -9.91   0.000    -.0797252   -.0528469
                  20  |  -.0477759   .0058466    -8.17   0.000    -.0595192   -.0360326
                  21  |  -.0164927   .0030761    -5.36   0.000    -.0226712   -.0103142
                  22  |  -.0005828   .0027639    -0.21   0.834    -.0061343    .0049687
                  23  |  -.0756997   .0094524    -8.01   0.000    -.0946853   -.0567141
                  24  |  -.0892397   .0105266    -8.48   0.000    -.1103829   -.0680965
                  25  |  -.1161679   .0147111    -7.90   0.000    -.1457161   -.0866198
                  26  |  -.0744411   .0077413    -9.62   0.000    -.0899899   -.0588923
                  27  |  -.0936544   .0102619    -9.13   0.000     -.114266   -.0730428
                  28  |  -.0018681   .0017036    -1.10   0.278    -.0052899    .0015537
                  29  |  -.0361037   .0051406    -7.02   0.000     -.046429   -.0257785
                  30  |  -.0680732   .0061204   -11.12   0.000    -.0803665     -.05578
                  31  |  -.0233207   .0082074    -2.84   0.006    -.0398058   -.0068357
                  32  |  -.0637227   .0088556    -7.20   0.000    -.0815097   -.0459357
                  33  |  -.0681563   .0103529    -6.58   0.000    -.0889506   -.0473619
                  34  |  -.0752473   .0100368    -7.50   0.000    -.0954068   -.0550878
                  35  |  -.0789946   .0082183    -9.61   0.000    -.0955016   -.0624876
                  36  |  -.0765892   .0123049    -6.22   0.000    -.1013043    -.051874
                  37  |  -.0382332   .0056851    -6.73   0.000    -.0496521   -.0268143
                  38  |   .0568146   .0020809    27.30   0.000      .052635    .0609943
                  39  |  -.0635796   .0070247    -9.05   0.000    -.0776892     -.04947
                  40  |  -.0162919   .0013024   -12.51   0.000    -.0189079    -.013676
                  41  |  -.1220703   .0149621    -8.16   0.000    -.1521225   -.0920182
                  42  |  -.0580211   .0053283   -10.89   0.000    -.0687234   -.0473189
                  44  |  -.1194747   .0117956   -10.13   0.000    -.1431669   -.0957826
                  45  |   .0116344   .0031439     3.70   0.001     .0053197     .017949
                  46  |   .0631445   .0033307    18.96   0.000     .0564545    .0698345
                  47  |  -.0254198   .0025903    -9.81   0.000    -.0306226   -.0202171
                  48  |   -.029997   .0056474    -5.31   0.000    -.0413402   -.0186538
                  49  |  -.0186685   .0055826    -3.34   0.002    -.0298815   -.0074555
                  50  |  -.1458231   .0170481    -8.55   0.000    -.1800653    -.111581
                  51  |   -.061222   .0086025    -7.12   0.000    -.0785005   -.0439434
                  53  |  -.0950744   .0124403    -7.64   0.000    -.1200614   -.0700874
                  54  |  -.0294873   .0013858   -21.28   0.000    -.0322708   -.0267037
                  55  |  -.0688676    .006591   -10.45   0.000     -.082106   -.0556292
                  56  |          0  (omitted)
                      |
                 year |
                2020  |          0  (omitted)
                      |
                _cons |   .7042032    .069392    10.15   0.000     .5648252    .8435811
---------------------------------------------------------------------------------------
(est6 stored)

. 
. eststo: reg donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year if age >= 40 & year == 2020, cluster(czone)  
note: 2020.year omitted because of collinearity

Linear regression                               Number of obs     =     35,679
                                                F(65, 666)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0236
                                                Root MSE          =     .28496

                                         (Std. Err. adjusted for 667 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0052182     .00207    -2.52   0.012    -.0092827   -.0011537
      cz_mean_ideo5_3 |   .0145925   .0086397     1.69   0.092    -.0023719    .0315569
             fb_share |  -.0525688   .0290289    -1.81   0.071     -.109568    .0044304
                  age |  -.0020844   .0001297   -16.07   0.000     -.002339   -.0018297
               female |   -.022786   .0028878    -7.89   0.000    -.0284562   -.0171157
              college |   .0649909   .0075833     8.57   0.000     .0501008    .0798811
                   hs |   .0275053   .0068424     4.02   0.000       .01407    .0409405
          citizen_dum |   .0298082   .0159273     1.87   0.062    -.0014655     .061082
          income_100k |   .0305772   .0043224     7.07   0.000       .02209    .0390645
           income_50k |   .0264918   .0036864     7.19   0.000     .0192534    .0337302
                white |  -.0078632    .008132    -0.97   0.334    -.0238307    .0081042
                black |  -.0455382   .0088419    -5.15   0.000    -.0628995   -.0281769
        race_hispanic |   .0046215   .0095502     0.48   0.629    -.0141307    .0233736
                asian |  -.0263799   .0167869    -1.57   0.117    -.0593415    .0065817
nohealthinsurance_dum |  -.0205643   .0068511    -3.00   0.003    -.0340167   -.0071118
            log_blood |   .0012077   .0026191     0.46   0.645    -.0039349    .0063504
L1_firearm_death_rate |  -.0015812   .0014201    -1.11   0.266    -.0043696    .0012072
    incarcerated_rate |  -.0555824   .0983852    -0.56   0.572    -.2487649    .1376001
                      |
                state |
                   2  |   .0107284    .067332     0.16   0.873    -.1214802    .1429369
                   4  |  -.0366272   .0124057    -2.95   0.003    -.0609863   -.0122682
                   5  |  -.0325315   .0160149    -2.03   0.043    -.0639773   -.0010858
                   6  |   -.016626   .0131573    -1.26   0.207    -.0424608    .0092087
                   8  |  -.0461112    .020757    -2.22   0.027    -.0868681   -.0053542
                   9  |  -.0296812   .0117331    -2.53   0.012    -.0527196   -.0066428
                  10  |  -.0392057   .0391032    -1.00   0.316    -.1159861    .0375747
                  11  |  -.0710551    .012335    -5.76   0.000    -.0952753   -.0468349
                  12  |   .0027746   .0142253     0.20   0.845    -.0251572    .0307063
                  13  |  -.0175296   .0126543    -1.39   0.166    -.0423767    .0073175
                  15  |  -.0527679   .0131446    -4.01   0.000    -.0785777   -.0269582
                  16  |  -.0103543   .0168875    -0.61   0.540    -.0435134    .0228047
                  17  |  -.0077489   .0139349    -0.56   0.578    -.0351105    .0196126
                  18  |  -.0120385   .0157274    -0.77   0.444    -.0429196    .0188427
                  19  |  -.0322147   .0216791    -1.49   0.138    -.0747823    .0103529
                  20  |  -.0225256   .0262761    -0.86   0.392    -.0741195    .0290684
                  21  |  -.0091835   .0181553    -0.51   0.613    -.0448321     .026465
                  22  |   .0004891   .0188959     0.03   0.979    -.0366136    .0375918
                  23  |  -.0237991   .0208855    -1.14   0.255    -.0648084    .0172102
                  24  |  -.0313333   .0131324    -2.39   0.017    -.0571193   -.0055474
                  25  |  -.0251352   .0132421    -1.90   0.058    -.0511365     .000866
                  26  |  -.0337113   .0121808    -2.77   0.006    -.0576286    -.009794
                  27  |  -.0309421   .0149115    -2.08   0.038    -.0602214   -.0016628
                  28  |  -.0108465   .0229037    -0.47   0.636    -.0558187    .0341258
                  29  |   -.013978   .0137826    -1.01   0.311    -.0410407    .0130846
                  30  |  -.0415277   .0239818    -1.73   0.084    -.0886167    .0055613
                  31  |   .0191052   .0308945     0.62   0.537    -.0415571    .0797675
                  32  |  -.0286839   .0217773    -1.32   0.188    -.0714442    .0140765
                  33  |  -.0118855   .0145568    -0.82   0.415    -.0404682    .0166973
                  34  |  -.0291302   .0181552    -1.60   0.109    -.0647786    .0065182
                  35  |  -.0419795   .0156122    -2.69   0.007    -.0726345   -.0113245
                  36  |  -.0071792   .0121998    -0.59   0.556    -.0311339    .0167754
                  37  |  -.0149449   .0143234    -1.04   0.297    -.0430693    .0131795
                  38  |   .0471276   .0395004     1.19   0.233    -.0304328    .1246879
                  39  |  -.0262139   .0127881    -2.05   0.041    -.0513237   -.0011041
                  40  |  -.0202782   .0183491    -1.11   0.270    -.0563072    .0157508
                  41  |  -.0287805   .0227039    -1.27   0.205    -.0733603    .0157993
                  42  |   -.034856   .0135155    -2.58   0.010    -.0613941   -.0083179
                  44  |  -.0492618   .0116306    -4.24   0.000    -.0720988   -.0264248
                  45  |   .0126195   .0227751     0.55   0.580    -.0321003    .0573392
                  46  |    .017282   .0349081     0.50   0.621    -.0512611    .0858251
                  47  |  -.0261849   .0151546    -1.73   0.084    -.0559415    .0035717
                  48  |  -.0144093   .0130279    -1.11   0.269      -.03999    .0111714
                  49  |   .0026314   .0187014     0.14   0.888    -.0340894    .0393523
                  50  |  -.0339059   .0187048    -1.81   0.070    -.0706333    .0028215
                  51  |  -.0142841   .0135108    -1.06   0.291     -.040813    .0122448
                  53  |  -.0218317    .013872    -1.57   0.116    -.0490698    .0054063
                  54  |  -.0523812    .020302    -2.58   0.010    -.0922448   -.0125175
                  55  |   -.029956   .0125968    -2.38   0.018    -.0546903   -.0052217
                  56  |  -.0272074   .0343408    -0.79   0.428    -.0946367    .0402219
                      |
                 year |
                2020  |          0  (omitted)
                      |
                _cons |   .1377212   .0374513     3.68   0.000     .0641843     .211258
---------------------------------------------------------------------------------------
(est7 stored)

. eststo: reg donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state i.year if age >= 40 & year == 2020, cluster(czone)  
note: 2020.year omitted because of collinearity

Linear regression                               Number of obs     =     35,679
                                                F(66, 666)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0239
                                                Root MSE          =     .28492

                                         (Std. Err. adjusted for 667 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0061376   .0020641    -2.97   0.003    -.0101905   -.0020847
              ideo5_3 |   .0044223   .0017046     2.59   0.010     .0010751    .0077694
      cz_mean_ideo5_3 |   .0109499   .0086958     1.26   0.208    -.0061246    .0280244
             fb_share |   -.055877   .0286402    -1.95   0.051     -.112113    .0003591
                  age |  -.0021347   .0001303   -16.38   0.000    -.0023906   -.0018788
               female |  -.0220005   .0028644    -7.68   0.000    -.0276248   -.0163761
              college |   .0670183   .0075752     8.85   0.000     .0521442    .0818924
                   hs |   .0278715   .0068502     4.07   0.000     .0144209    .0413221
          citizen_dum |   .0296937   .0159817     1.86   0.064    -.0016869    .0610743
          income_100k |   .0298665   .0042524     7.02   0.000     .0215168    .0382163
           income_50k |   .0261109   .0036744     7.11   0.000      .018896    .0333258
                white |  -.0075004   .0081112    -0.92   0.355    -.0234269    .0084261
                black |  -.0436317   .0088826    -4.91   0.000    -.0610729   -.0261904
        race_hispanic |   .0051258   .0095423     0.54   0.591    -.0136108    .0238624
                asian |   -.026831   .0167253    -1.60   0.109    -.0596717    .0060097
nohealthinsurance_dum |  -.0208298   .0068336    -3.05   0.002    -.0342478   -.0074117
            log_blood |    .001619   .0026265     0.62   0.538    -.0035383    .0067763
L1_firearm_death_rate |  -.0015497   .0014309    -1.08   0.279    -.0043593    .0012599
    incarcerated_rate |  -.0545631   .0982778    -0.56   0.579    -.2475347    .1384084
                      |
                state |
                   2  |    .011536   .0676748     0.17   0.865    -.1213457    .1444178
                   4  |  -.0356927   .0124736    -2.86   0.004    -.0601851   -.0112004
                   5  |  -.0317701   .0160322    -1.98   0.048    -.0632499   -.0002902
                   6  |  -.0152446   .0132273    -1.15   0.250    -.0412169    .0107277
                   8  |  -.0453675   .0207402    -2.19   0.029    -.0860916   -.0046433
                   9  |  -.0284911   .0117705    -2.42   0.016    -.0516028   -.0053793
                  10  |  -.0378526   .0394153    -0.96   0.337    -.1152458    .0395407
                  11  |  -.0695764   .0123422    -5.64   0.000    -.0938107   -.0453422
                  12  |    .003742   .0142804     0.26   0.793     -.024298     .031782
                  13  |  -.0171494   .0126764    -1.35   0.177    -.0420399    .0077412
                  15  |  -.0506577   .0131118    -3.86   0.000    -.0764032   -.0249122
                  16  |   -.009806   .0168665    -0.58   0.561    -.0429239    .0233119
                  17  |  -.0071469   .0139782    -0.51   0.609    -.0345934    .0202997
                  18  |  -.0113859   .0157887    -0.72   0.471    -.0423875    .0196158
                  19  |  -.0312204   .0217005    -1.44   0.151    -.0738299    .0113892
                  20  |  -.0215928   .0263671    -0.82   0.413    -.0733655    .0301798
                  21  |  -.0088026   .0181764    -0.48   0.628    -.0444925    .0268872
                  22  |   .0003312   .0188901     0.02   0.986    -.0367602    .0374226
                  23  |  -.0227332   .0209961    -1.08   0.279    -.0639597    .0184934
                  24  |  -.0309511   .0131598    -2.35   0.019    -.0567907   -.0051115
                  25  |  -.0240458   .0132781    -1.81   0.071    -.0501178    .0020262
                  26  |  -.0330198   .0122314    -2.70   0.007    -.0570366   -.0090031
                  27  |  -.0300851   .0149574    -2.01   0.045    -.0594545   -.0007158
                  28  |  -.0110758   .0228201    -0.49   0.628    -.0558839    .0337322
                  29  |  -.0135345   .0137908    -0.98   0.327    -.0406132    .0135442
                  30  |  -.0405655    .023889    -1.70   0.090    -.0874723    .0063413
                  31  |    .019726   .0310422     0.64   0.525    -.0412264    .0806785
                  32  |  -.0270877   .0217578    -1.24   0.214    -.0698097    .0156344
                  33  |  -.0108258   .0146498    -0.74   0.460     -.039591    .0179395
                  34  |  -.0283129   .0181026    -1.56   0.118    -.0638579    .0072322
                  35  |  -.0407277   .0156559    -2.60   0.009    -.0714686   -.0099868
                  36  |  -.0063906   .0122298    -0.52   0.601    -.0304043     .017623
                  37  |   -.014378   .0143671    -1.00   0.317    -.0425882    .0138322
                  38  |    .047878   .0394714     1.21   0.226    -.0296253    .1253813
                  39  |  -.0254844    .012824    -1.99   0.047    -.0506647   -.0003042
                  40  |  -.0199686   .0183197    -1.09   0.276      -.05594    .0160027
                  41  |  -.0272445   .0225622    -1.21   0.228     -.071546    .0170571
                  42  |  -.0342698   .0135616    -2.53   0.012    -.0608984   -.0076412
                  44  |  -.0477394   .0116838    -4.09   0.000    -.0706809    -.024798
                  45  |   .0128423   .0227903     0.56   0.573    -.0319071    .0575917
                  46  |   .0178183    .035024     0.51   0.611    -.0509523     .086589
                  47  |  -.0255856   .0152216    -1.68   0.093    -.0554737    .0043025
                  48  |  -.0138286    .013055    -1.06   0.290    -.0394626    .0118054
                  49  |   .0034923    .018808     0.19   0.853    -.0334378    .0404224
                  50  |  -.0320936   .0184681    -1.74   0.083    -.0683564    .0041692
                  51  |  -.0139205   .0135429    -1.03   0.304    -.0405123    .0126714
                  53  |  -.0208152   .0139304    -1.49   0.136    -.0481679    .0065375
                  54  |  -.0516946   .0203081    -2.55   0.011    -.0915702   -.0118191
                  55  |  -.0292144   .0125743    -2.32   0.020    -.0539046   -.0045243
                  56  |  -.0264071   .0342675    -0.77   0.441    -.0936924    .0408783
                      |
                 year |
                2020  |          0  (omitted)
                      |
                _cons |   .1363893   .0373948     3.65   0.000     .0629634    .2098151
---------------------------------------------------------------------------------------
(est8 stored)

.         
. esttab using "TableA12.tex", label keep(dist_st_ideo5_3 st_mean_ideo5_3 dist_cz_ideo5_3 cz_mean_ide
> o5_3 ideo5_3 fb_share age female college hs citizen_dum income_100k income_50k nohealthinsurance_du
> m log_blood L1_firearm_death_rate incarcerated_rate) order(dist_st_ideo5_3 st_mean_ideo5_3 dist_cz_
> ideo5_3 cz_mean_ideo5_3 ideo5_3 fb_share age female college hs citizen_dum income_100k income_50k n
> ohealthinsurance_dum log_blood L1_firearm_death_rate incarcerated_rate) nonotes se(3) b(3) replace 
> star(+ 0.10 * 0.05 ** 0.01) compress nogaps nodepvars indicate("State FE = *state*" "Year FE = *yea
> r*") 
(output written to TableA12.tex)

. 
. * Table A13: Social Diversity and Blood Donation: Controlling for 2020
. 
. gen year2020 = 0 

. replace year2020 = 1 if year == 2020
(61,449 real changes made)

. label var year2020 "Year of 2020"

. 
. eststo clear

. 
. eststo: reg donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state year2020, cluster(state)  

Linear regression                               Number of obs     =    276,951
                                                F(18, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0249
                                                Root MSE          =      .3343

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0088478   .0011196    -7.90   0.000    -.0110965   -.0065991
      st_mean_ideo5_3 |   .0539453   .0090103     5.99   0.000     .0358476     .072043
             fb_share |   -.044458   .0154906    -2.87   0.006    -.0755718   -.0133442
                  age |  -.0024132   .0000957   -25.22   0.000    -.0026054    -.002221
               female |  -.0342411   .0016947   -20.20   0.000    -.0376451   -.0308371
              college |   .0727821   .0039535    18.41   0.000     .0648413    .0807229
                   hs |   .0436337    .003921    11.13   0.000     .0357581    .0515092
          citizen_dum |   .0372382   .0059711     6.24   0.000     .0252449    .0492315
          income_100k |   .0296656   .0021605    13.73   0.000     .0253262    .0340051
           income_50k |   .0272617   .0022156    12.30   0.000     .0228115    .0317119
                white |    -.02228   .0039651    -5.62   0.000    -.0302442   -.0143158
                black |  -.0538543   .0044816   -12.02   0.000    -.0628559   -.0448528
        race_hispanic |  -.0011763   .0047697    -0.25   0.806    -.0107566    .0084039
                asian |  -.0314925   .0057625    -5.47   0.000    -.0430668   -.0199182
nohealthinsurance_dum |  -.0240161   .0030264    -7.94   0.000    -.0300947   -.0179374
            log_blood |   .0017941   .0015592     1.15   0.255    -.0013376    .0049257
L1_firearm_death_rate |  -.0006029   .0008562    -0.70   0.485    -.0023226    .0011168
    incarcerated_rate |   .0429211   .0549943     0.78   0.439    -.0675382    .1533804
                      |
                state |
                   2  |   -.025853   .0017051   -15.16   0.000    -.0292779   -.0224281
                   4  |  -.0149559   .0022812    -6.56   0.000    -.0195379   -.0103739
                   5  |  -.0147472    .001429   -10.32   0.000    -.0176174   -.0118769
                   6  |   .0158654   .0058126     2.73   0.009     .0041904    .0275405
                   8  |  -.0175452   .0025441    -6.90   0.000    -.0226553   -.0124352
                   9  |  -.0006383   .0044805    -0.14   0.887    -.0096377    .0083611
                  10  |   .0386676   .0029288    13.20   0.000      .032785    .0445502
                  11  |   -.004553   .0096512    -0.47   0.639    -.0239381    .0148321
                  12  |   .0257074    .002829     9.09   0.000     .0200252    .0313896
                  13  |   .0095458   .0021043     4.54   0.000     .0053193    .0137723
                  15  |  -.0084009   .0050416    -1.67   0.102    -.0185272    .0017255
                  16  |  -.0087721   .0014371    -6.10   0.000    -.0116586   -.0058857
                  17  |   .0133176   .0036174     3.68   0.001     .0060518    .0205833
                  18  |   .0000843   .0016969     0.05   0.961     -.003324    .0034925
                  19  |   .0088874    .002373     3.75   0.000     .0041212    .0136536
                  20  |   .0048347   .0018986     2.55   0.014     .0010212    .0086482
                  21  |  -.0078361   .0016384    -4.78   0.000    -.0111269   -.0045453
                  22  |   .0101298   .0008884    11.40   0.000     .0083453    .0119143
                  23  |  -.0035149   .0034895    -1.01   0.319    -.0105238     .003494
                  24  |  -.0026123   .0042788    -0.61   0.544    -.0112066     .005982
                  25  |   .0089822   .0055521     1.62   0.112    -.0021696     .020134
                  26  |  -.0036611   .0030091    -1.22   0.229     -.009705    .0023828
                  27  |   .0113916   .0032747     3.48   0.001     .0048142     .017969
                  28  |   .0102029   .0007432    13.73   0.000     .0087101    .0116957
                  29  |   .0001411   .0013004     0.11   0.914    -.0024708    .0027531
                  30  |  -.0091221   .0019412    -4.70   0.000     -.013021   -.0052231
                  31  |   .0158324    .001551    10.21   0.000     .0127171    .0189476
                  32  |   .0053857   .0038542     1.40   0.168    -.0023558    .0131272
                  33  |  -.0008514   .0035564    -0.24   0.812    -.0079947    .0062918
                  34  |  -.0002938   .0044611    -0.07   0.948    -.0092542    .0086667
                  35  |   -.013118    .003386    -3.87   0.000     -.019919   -.0063169
                  36  |   .0148579    .005194     2.86   0.006     .0044254    .0252905
                  37  |   .0035147   .0022409     1.57   0.123    -.0009862    .0080156
                  38  |   .0099035   .0019286     5.13   0.000     .0060297    .0137773
                  39  |  -.0066623   .0022635    -2.94   0.005    -.0112088   -.0021159
                  40  |  -.0142651   .0006414   -22.24   0.000    -.0155533   -.0129768
                  41  |     .00135   .0047666     0.28   0.778     -.008224    .0109239
                  42  |     -.0079    .002136    -3.70   0.001    -.0121903   -.0036096
                  44  |   .0314666   .0049579     6.35   0.000     .0215084    .0414248
                  45  |   .0086457   .0011372     7.60   0.000     .0063616    .0109298
                  46  |    .019219   .0012836    14.97   0.000     .0166408    .0217971
                  47  |  -.0053065   .0010798    -4.91   0.000    -.0074753   -.0031376
                  48  |   .0012726   .0020459     0.62   0.537    -.0028367     .005382
                  49  |   .0142303   .0017436     8.16   0.000     .0107282    .0177324
                  50  |   .0324749   .0063439     5.12   0.000     .0197328    .0452169
                  51  |   .0001657   .0030682     0.05   0.957     -.005997    .0063284
                  53  |   .0062601   .0043638     1.43   0.158    -.0025049    .0150251
                  54  |  -.0319065   .0018045   -17.68   0.000    -.0355309   -.0282822
                  55  |  -.0001644   .0021888    -0.08   0.940    -.0045608     .004232
                  56  |  -.0199094   .0015987   -12.45   0.000    -.0231205   -.0166984
                      |
             year2020 |  -.0281597   .0015672   -17.97   0.000    -.0313076   -.0250119
                _cons |   .0388417   .0346603     1.12   0.268    -.0307755     .108459
---------------------------------------------------------------------------------------
(est1 stored)

. eststo: reg donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state year2020, cluster(state)  

Linear regression                               Number of obs     =    276,951
                                                F(19, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0249
                                                Root MSE          =     .33428

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0086656   .0011049    -7.84   0.000    -.0108849   -.0064464
              ideo5_3 |   .0027906   .0006456     4.32   0.000     .0014939    .0040874
      st_mean_ideo5_3 |   .0515736   .0089022     5.79   0.000     .0336931    .0694542
             fb_share |  -.0437166   .0154142    -2.84   0.007    -.0746771   -.0127562
                  age |  -.0024426   .0000973   -25.11   0.000     -.002638   -.0022472
               female |   -.033693   .0017175   -19.62   0.000    -.0371427   -.0302433
              college |   .0737728   .0040214    18.34   0.000     .0656955    .0818501
                   hs |   .0438103   .0039434    11.11   0.000     .0358897     .051731
          citizen_dum |   .0369563   .0059681     6.19   0.000      .024969    .0489436
          income_100k |    .029208   .0021817    13.39   0.000     .0248259    .0335901
           income_50k |   .0269885   .0022167    12.18   0.000     .0225362    .0314408
                white |    -.02211    .003985    -5.55   0.000     -.030114   -.0141059
                black |  -.0527674   .0045198   -11.67   0.000    -.0618456   -.0436891
        race_hispanic |   -.000775   .0047248    -0.16   0.870    -.0102651     .008715
                asian |  -.0313361   .0057557    -5.44   0.000    -.0428969   -.0197754
nohealthinsurance_dum |  -.0240019   .0030196    -7.95   0.000    -.0300669   -.0179368
            log_blood |   .0021123   .0015702     1.35   0.185    -.0010416    .0052662
L1_firearm_death_rate |   -.000573   .0008577    -0.67   0.507    -.0022958    .0011498
    incarcerated_rate |   .0406548    .054964     0.74   0.463    -.0697437    .1510533
                      |
                state |
                   2  |  -.0253761   .0017327   -14.65   0.000    -.0288563   -.0218959
                   4  |  -.0145651   .0022962    -6.34   0.000    -.0191771   -.0099531
                   5  |  -.0143604   .0014456    -9.93   0.000    -.0172639   -.0114569
                   6  |   .0159521   .0058013     2.75   0.008     .0042998    .0276044
                   8  |  -.0173014   .0025616    -6.75   0.000    -.0224465   -.0121563
                   9  |  -.0001671   .0044972    -0.04   0.971       -.0092    .0088657
                  10  |   .0390446   .0029521    13.23   0.000     .0331151    .0449741
                  11  |  -.0050547   .0096196    -0.53   0.602    -.0243763    .0142669
                  12  |   .0258246   .0028281     9.13   0.000     .0201441     .031505
                  13  |   .0095396   .0021019     4.54   0.000     .0053179    .0137613
                  15  |  -.0078382   .0050727    -1.55   0.129    -.0180271    .0023507
                  16  |   -.008234    .001453    -5.67   0.000    -.0111523   -.0053156
                  17  |   .0132597   .0036189     3.66   0.001     .0059909    .0205285
                  18  |   .0004475     .00172     0.26   0.796    -.0030073    .0039023
                  19  |   .0093717   .0024028     3.90   0.000     .0045456    .0141979
                  20  |   .0053037   .0019291     2.75   0.008     .0014289    .0091785
                  21  |  -.0074405   .0016615    -4.48   0.000    -.0107778   -.0041032
                  22  |   .0101828   .0008901    11.44   0.000      .008395    .0119707
                  23  |  -.0027602   .0035375    -0.78   0.439    -.0098653     .004345
                  24  |  -.0026073   .0042725    -0.61   0.544    -.0111888    .0059742
                  25  |   .0092431   .0055614     1.66   0.103    -.0019272    .0204135
                  26  |  -.0032683    .003032    -1.08   0.286    -.0093583    .0028217
                  27  |     .01167    .003296     3.54   0.001     .0050498    .0182903
                  28  |   .0102998   .0007468    13.79   0.000     .0087998    .0117998
                  29  |   .0004044   .0013228     0.31   0.761    -.0022524    .0030613
                  30  |  -.0084233   .0019905    -4.23   0.000    -.0124212   -.0044254
                  31  |   .0161461   .0015694    10.29   0.000     .0129939    .0192983
                  32  |   .0057627    .003863     1.49   0.142    -.0019963    .0135217
                  33  |  -.0000647   .0036035    -0.02   0.986    -.0073026    .0071731
                  34  |  -.0002745   .0044538    -0.06   0.951    -.0092202    .0086712
                  35  |  -.0126023   .0034183    -3.69   0.001    -.0194682   -.0057363
                  36  |   .0148896   .0051904     2.87   0.006     .0044643    .0253148
                  37  |   .0037271   .0022512     1.66   0.104    -.0007947    .0082488
                  38  |   .0105085     .00196     5.36   0.000     .0065717    .0144453
                  39  |  -.0062597   .0022897    -2.73   0.009    -.0108588   -.0016606
                  40  |  -.0140192   .0006468   -21.68   0.000    -.0153183   -.0127201
                  41  |   .0019356   .0048021     0.40   0.689    -.0077097     .011581
                  42  |   -.007598   .0021578    -3.52   0.001    -.0119321    -.003264
                  44  |    .031829   .0049765     6.40   0.000     .0218333    .0418247
                  45  |   .0088467    .001146     7.72   0.000     .0065448    .0111486
                  46  |   .0196882   .0012925    15.23   0.000      .017092    .0222843
                  47  |  -.0050369   .0010937    -4.61   0.000    -.0072336   -.0028403
                  48  |   .0012108   .0020424     0.59   0.556    -.0028915     .005313
                  49  |   .0144976   .0017527     8.27   0.000     .0109772     .018018
                  50  |   .0332691   .0063914     5.21   0.000     .0204315    .0461066
                  51  |   .0002737   .0030663     0.09   0.929    -.0058851    .0064325
                  53  |   .0066463   .0043834     1.52   0.136     -.002158    .0154507
                  54  |  -.0312456    .001839   -16.99   0.000    -.0349393   -.0275518
                  55  |   .0002584   .0022161     0.12   0.908    -.0041928    .0047096
                  56  |  -.0192895   .0016149   -11.94   0.000    -.0225331   -.0160459
                      |
             year2020 |  -.0281345   .0015707   -17.91   0.000    -.0312894   -.0249796
                _cons |   .0376394   .0347129     1.08   0.283    -.0320834    .1073623
---------------------------------------------------------------------------------------
(est2 stored)

. 
. eststo: reg donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state year2020, cluster(state)  

Linear regression                               Number of obs     =    276,951
                                                F(18, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0249
                                                Root MSE          =      .3343

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0088478   .0011196    -7.90   0.000    -.0110965   -.0065991
      st_mean_ideo5_3 |   .0539453   .0090103     5.99   0.000     .0358476     .072043
             fb_share |   -.044458   .0154906    -2.87   0.006    -.0755718   -.0133442
                  age |  -.0024132   .0000957   -25.22   0.000    -.0026054    -.002221
               female |  -.0342411   .0016947   -20.20   0.000    -.0376451   -.0308371
              college |   .0727821   .0039535    18.41   0.000     .0648413    .0807229
                   hs |   .0436337    .003921    11.13   0.000     .0357581    .0515092
          citizen_dum |   .0372382   .0059711     6.24   0.000     .0252449    .0492315
          income_100k |   .0296656   .0021605    13.73   0.000     .0253262    .0340051
           income_50k |   .0272617   .0022156    12.30   0.000     .0228115    .0317119
                white |    -.02228   .0039651    -5.62   0.000    -.0302442   -.0143158
                black |  -.0538543   .0044816   -12.02   0.000    -.0628559   -.0448528
        race_hispanic |  -.0011763   .0047697    -0.25   0.806    -.0107566    .0084039
                asian |  -.0314925   .0057625    -5.47   0.000    -.0430668   -.0199182
nohealthinsurance_dum |  -.0240161   .0030264    -7.94   0.000    -.0300947   -.0179374
            log_blood |   .0017941   .0015592     1.15   0.255    -.0013376    .0049257
L1_firearm_death_rate |  -.0006029   .0008562    -0.70   0.485    -.0023226    .0011168
    incarcerated_rate |   .0429211   .0549943     0.78   0.439    -.0675382    .1533804
                      |
                state |
                   2  |   -.025853   .0017051   -15.16   0.000    -.0292779   -.0224281
                   4  |  -.0149559   .0022812    -6.56   0.000    -.0195379   -.0103739
                   5  |  -.0147472    .001429   -10.32   0.000    -.0176174   -.0118769
                   6  |   .0158654   .0058126     2.73   0.009     .0041904    .0275405
                   8  |  -.0175452   .0025441    -6.90   0.000    -.0226553   -.0124352
                   9  |  -.0006383   .0044805    -0.14   0.887    -.0096377    .0083611
                  10  |   .0386676   .0029288    13.20   0.000      .032785    .0445502
                  11  |   -.004553   .0096512    -0.47   0.639    -.0239381    .0148321
                  12  |   .0257074    .002829     9.09   0.000     .0200252    .0313896
                  13  |   .0095458   .0021043     4.54   0.000     .0053193    .0137723
                  15  |  -.0084009   .0050416    -1.67   0.102    -.0185272    .0017255
                  16  |  -.0087721   .0014371    -6.10   0.000    -.0116586   -.0058857
                  17  |   .0133176   .0036174     3.68   0.001     .0060518    .0205833
                  18  |   .0000843   .0016969     0.05   0.961     -.003324    .0034925
                  19  |   .0088874    .002373     3.75   0.000     .0041212    .0136536
                  20  |   .0048347   .0018986     2.55   0.014     .0010212    .0086482
                  21  |  -.0078361   .0016384    -4.78   0.000    -.0111269   -.0045453
                  22  |   .0101298   .0008884    11.40   0.000     .0083453    .0119143
                  23  |  -.0035149   .0034895    -1.01   0.319    -.0105238     .003494
                  24  |  -.0026123   .0042788    -0.61   0.544    -.0112066     .005982
                  25  |   .0089822   .0055521     1.62   0.112    -.0021696     .020134
                  26  |  -.0036611   .0030091    -1.22   0.229     -.009705    .0023828
                  27  |   .0113916   .0032747     3.48   0.001     .0048142     .017969
                  28  |   .0102029   .0007432    13.73   0.000     .0087101    .0116957
                  29  |   .0001411   .0013004     0.11   0.914    -.0024708    .0027531
                  30  |  -.0091221   .0019412    -4.70   0.000     -.013021   -.0052231
                  31  |   .0158324    .001551    10.21   0.000     .0127171    .0189476
                  32  |   .0053857   .0038542     1.40   0.168    -.0023558    .0131272
                  33  |  -.0008514   .0035564    -0.24   0.812    -.0079947    .0062918
                  34  |  -.0002938   .0044611    -0.07   0.948    -.0092542    .0086667
                  35  |   -.013118    .003386    -3.87   0.000     -.019919   -.0063169
                  36  |   .0148579    .005194     2.86   0.006     .0044254    .0252905
                  37  |   .0035147   .0022409     1.57   0.123    -.0009862    .0080156
                  38  |   .0099035   .0019286     5.13   0.000     .0060297    .0137773
                  39  |  -.0066623   .0022635    -2.94   0.005    -.0112088   -.0021159
                  40  |  -.0142651   .0006414   -22.24   0.000    -.0155533   -.0129768
                  41  |     .00135   .0047666     0.28   0.778     -.008224    .0109239
                  42  |     -.0079    .002136    -3.70   0.001    -.0121903   -.0036096
                  44  |   .0314666   .0049579     6.35   0.000     .0215084    .0414248
                  45  |   .0086457   .0011372     7.60   0.000     .0063616    .0109298
                  46  |    .019219   .0012836    14.97   0.000     .0166408    .0217971
                  47  |  -.0053065   .0010798    -4.91   0.000    -.0074753   -.0031376
                  48  |   .0012726   .0020459     0.62   0.537    -.0028367     .005382
                  49  |   .0142303   .0017436     8.16   0.000     .0107282    .0177324
                  50  |   .0324749   .0063439     5.12   0.000     .0197328    .0452169
                  51  |   .0001657   .0030682     0.05   0.957     -.005997    .0063284
                  53  |   .0062601   .0043638     1.43   0.158    -.0025049    .0150251
                  54  |  -.0319065   .0018045   -17.68   0.000    -.0355309   -.0282822
                  55  |  -.0001644   .0021888    -0.08   0.940    -.0045608     .004232
                  56  |  -.0199094   .0015987   -12.45   0.000    -.0231205   -.0166984
                      |
             year2020 |  -.0281597   .0015672   -17.97   0.000    -.0313076   -.0250119
                _cons |   .0388417   .0346603     1.12   0.268    -.0307755     .108459
---------------------------------------------------------------------------------------
(est3 stored)

. eststo: reg donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state  year2020, cluster(state)  

Linear regression                               Number of obs     =    276,951
                                                F(19, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0249
                                                Root MSE          =     .33428

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0086656   .0011049    -7.84   0.000    -.0108849   -.0064464
              ideo5_3 |   .0027906   .0006456     4.32   0.000     .0014939    .0040874
      st_mean_ideo5_3 |   .0515736   .0089022     5.79   0.000     .0336931    .0694542
             fb_share |  -.0437166   .0154142    -2.84   0.007    -.0746771   -.0127562
                  age |  -.0024426   .0000973   -25.11   0.000     -.002638   -.0022472
               female |   -.033693   .0017175   -19.62   0.000    -.0371427   -.0302433
              college |   .0737728   .0040214    18.34   0.000     .0656955    .0818501
                   hs |   .0438103   .0039434    11.11   0.000     .0358897     .051731
          citizen_dum |   .0369563   .0059681     6.19   0.000      .024969    .0489436
          income_100k |    .029208   .0021817    13.39   0.000     .0248259    .0335901
           income_50k |   .0269885   .0022167    12.18   0.000     .0225362    .0314408
                white |    -.02211    .003985    -5.55   0.000     -.030114   -.0141059
                black |  -.0527674   .0045198   -11.67   0.000    -.0618456   -.0436891
        race_hispanic |   -.000775   .0047248    -0.16   0.870    -.0102651     .008715
                asian |  -.0313361   .0057557    -5.44   0.000    -.0428969   -.0197754
nohealthinsurance_dum |  -.0240019   .0030196    -7.95   0.000    -.0300669   -.0179368
            log_blood |   .0021123   .0015702     1.35   0.185    -.0010416    .0052662
L1_firearm_death_rate |   -.000573   .0008577    -0.67   0.507    -.0022958    .0011498
    incarcerated_rate |   .0406548    .054964     0.74   0.463    -.0697437    .1510533
                      |
                state |
                   2  |  -.0253761   .0017327   -14.65   0.000    -.0288563   -.0218959
                   4  |  -.0145651   .0022962    -6.34   0.000    -.0191771   -.0099531
                   5  |  -.0143604   .0014456    -9.93   0.000    -.0172639   -.0114569
                   6  |   .0159521   .0058013     2.75   0.008     .0042998    .0276044
                   8  |  -.0173014   .0025616    -6.75   0.000    -.0224465   -.0121563
                   9  |  -.0001671   .0044972    -0.04   0.971       -.0092    .0088657
                  10  |   .0390446   .0029521    13.23   0.000     .0331151    .0449741
                  11  |  -.0050547   .0096196    -0.53   0.602    -.0243763    .0142669
                  12  |   .0258246   .0028281     9.13   0.000     .0201441     .031505
                  13  |   .0095396   .0021019     4.54   0.000     .0053179    .0137613
                  15  |  -.0078382   .0050727    -1.55   0.129    -.0180271    .0023507
                  16  |   -.008234    .001453    -5.67   0.000    -.0111523   -.0053156
                  17  |   .0132597   .0036189     3.66   0.001     .0059909    .0205285
                  18  |   .0004475     .00172     0.26   0.796    -.0030073    .0039023
                  19  |   .0093717   .0024028     3.90   0.000     .0045456    .0141979
                  20  |   .0053037   .0019291     2.75   0.008     .0014289    .0091785
                  21  |  -.0074405   .0016615    -4.48   0.000    -.0107778   -.0041032
                  22  |   .0101828   .0008901    11.44   0.000      .008395    .0119707
                  23  |  -.0027602   .0035375    -0.78   0.439    -.0098653     .004345
                  24  |  -.0026073   .0042725    -0.61   0.544    -.0111888    .0059742
                  25  |   .0092431   .0055614     1.66   0.103    -.0019272    .0204135
                  26  |  -.0032683    .003032    -1.08   0.286    -.0093583    .0028217
                  27  |     .01167    .003296     3.54   0.001     .0050498    .0182903
                  28  |   .0102998   .0007468    13.79   0.000     .0087998    .0117998
                  29  |   .0004044   .0013228     0.31   0.761    -.0022524    .0030613
                  30  |  -.0084233   .0019905    -4.23   0.000    -.0124212   -.0044254
                  31  |   .0161461   .0015694    10.29   0.000     .0129939    .0192983
                  32  |   .0057627    .003863     1.49   0.142    -.0019963    .0135217
                  33  |  -.0000647   .0036035    -0.02   0.986    -.0073026    .0071731
                  34  |  -.0002745   .0044538    -0.06   0.951    -.0092202    .0086712
                  35  |  -.0126023   .0034183    -3.69   0.001    -.0194682   -.0057363
                  36  |   .0148896   .0051904     2.87   0.006     .0044643    .0253148
                  37  |   .0037271   .0022512     1.66   0.104    -.0007947    .0082488
                  38  |   .0105085     .00196     5.36   0.000     .0065717    .0144453
                  39  |  -.0062597   .0022897    -2.73   0.009    -.0108588   -.0016606
                  40  |  -.0140192   .0006468   -21.68   0.000    -.0153183   -.0127201
                  41  |   .0019356   .0048021     0.40   0.689    -.0077097     .011581
                  42  |   -.007598   .0021578    -3.52   0.001    -.0119321    -.003264
                  44  |    .031829   .0049765     6.40   0.000     .0218333    .0418247
                  45  |   .0088467    .001146     7.72   0.000     .0065448    .0111486
                  46  |   .0196882   .0012925    15.23   0.000      .017092    .0222843
                  47  |  -.0050369   .0010937    -4.61   0.000    -.0072336   -.0028403
                  48  |   .0012108   .0020424     0.59   0.556    -.0028915     .005313
                  49  |   .0144976   .0017527     8.27   0.000     .0109772     .018018
                  50  |   .0332691   .0063914     5.21   0.000     .0204315    .0461066
                  51  |   .0002737   .0030663     0.09   0.929    -.0058851    .0064325
                  53  |   .0066463   .0043834     1.52   0.136     -.002158    .0154507
                  54  |  -.0312456    .001839   -16.99   0.000    -.0349393   -.0275518
                  55  |   .0002584   .0022161     0.12   0.908    -.0041928    .0047096
                  56  |  -.0192895   .0016149   -11.94   0.000    -.0225331   -.0160459
                      |
             year2020 |  -.0281345   .0015707   -17.91   0.000    -.0312894   -.0249796
                _cons |   .0376394   .0347129     1.08   0.283    -.0320834    .1073623
---------------------------------------------------------------------------------------
(est4 stored)

. 
. eststo: reg donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state year2020, cluster(czone)  

Linear regression                               Number of obs     =    276,951
                                                F(66, 725)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0247
                                                Root MSE          =     .33432

                                         (Std. Err. adjusted for 726 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0085255   .0009069    -9.40   0.000     -.010306   -.0067451
      cz_mean_ideo5_3 |   .0186043   .0042895     4.34   0.000      .010183    .0270256
             fb_share |   -.025464   .0150616    -1.69   0.091    -.0550335    .0041054
                  age |  -.0024018   .0000601   -39.93   0.000    -.0025199   -.0022837
               female |  -.0344318   .0016259   -21.18   0.000    -.0376238   -.0312398
              college |    .073511   .0038951    18.87   0.000      .065864    .0811581
                   hs |   .0440738    .003877    11.37   0.000     .0364624    .0516852
          citizen_dum |    .037545   .0065543     5.73   0.000     .0246773    .0504128
          income_100k |   .0299747   .0020175    14.86   0.000     .0260138    .0339356
           income_50k |    .027479   .0016511    16.64   0.000     .0242376    .0307205
                white |  -.0223897   .0041813    -5.35   0.000    -.0305985   -.0141808
                black |  -.0535319   .0047508   -11.27   0.000    -.0628589   -.0442049
        race_hispanic |   -.001413   .0049334    -0.29   0.775    -.0110986    .0082725
                asian |  -.0321883   .0059568    -5.40   0.000    -.0438829   -.0204938
nohealthinsurance_dum |   -.023102   .0025093    -9.21   0.000    -.0280283   -.0181757
            log_blood |   .0027282   .0016128     1.69   0.091    -.0004381    .0058944
L1_firearm_death_rate |  -.0005486   .0008767    -0.63   0.532    -.0022699    .0011726
    incarcerated_rate |   .0290749   .0587619     0.49   0.621    -.0862888    .1444386
                      |
                state |
                   2  |  -.0286747   .0093066    -3.08   0.002    -.0469458   -.0104037
                   4  |  -.0201717   .0068089    -2.96   0.003    -.0335391   -.0068042
                   5  |  -.0153809   .0086412    -1.78   0.076    -.0323457    .0015839
                   6  |  -.0040623   .0076463    -0.53   0.595    -.0190738    .0109492
                   8  |  -.0274363   .0099848    -2.75   0.006    -.0470388   -.0078338
                   9  |  -.0154605   .0067824    -2.28   0.023     -.028776    -.002145
                  10  |   .0263281   .0080914     3.25   0.001     .0104426    .0422136
                  11  |  -.0499482   .0071088    -7.03   0.000    -.0639044    -.035992
                  12  |   .0159503   .0074035     2.15   0.032     .0014154    .0304853
                  13  |   .0031878   .0072483     0.44   0.660    -.0110425    .0174181
                  15  |  -.0247028   .0104015    -2.37   0.018    -.0451235    -.004282
                  16  |  -.0058446   .0135784    -0.43   0.667    -.0325023    .0208132
                  17  |  -.0024084   .0075618    -0.32   0.750     -.017254    .0124372
                  18  |    -.00464   .0089756    -0.52   0.605    -.0222612    .0129813
                  19  |   .0018879   .0087252     0.22   0.829    -.0152417    .0190175
                  20  |   .0003565   .0079534     0.04   0.964     -.015258     .015971
                  21  |   -.011239    .008305    -1.35   0.176    -.0275436    .0050657
                  22  |   .0111472   .0095815     1.16   0.245    -.0076637     .029958
                  23  |  -.0127884    .010994    -1.16   0.245    -.0343723    .0087955
                  24  |  -.0184697   .0072964    -2.53   0.012    -.0327942   -.0041451
                  25  |  -.0125745   .0069586    -1.81   0.071    -.0262358    .0010869
                  26  |  -.0135884    .007068    -1.92   0.055    -.0274646    .0002878
                  27  |  -.0024755   .0085176    -0.29   0.771    -.0191976    .0142466
                  28  |   .0116128   .0086681     1.34   0.181    -.0054047    .0286303
                  29  |  -.0046089   .0085153    -0.54   0.588    -.0213265    .0121087
                  30  |  -.0122109   .0094094    -1.30   0.195    -.0306839     .006262
                  31  |   .0114474   .0169058     0.68   0.499    -.0217429    .0446376
                  32  |  -.0063374   .0070261    -0.90   0.367    -.0201313    .0074565
                  33  |  -.0103038   .0071358    -1.44   0.149    -.0243131    .0037054
                  34  |  -.0168714   .0104297    -1.62   0.106    -.0373474    .0036046
                  35  |  -.0235938   .0091424    -2.58   0.010    -.0415426   -.0056451
                  36  |  -.0051303   .0070485    -0.73   0.467    -.0189682    .0087075
                  37  |  -.0031372   .0082011    -0.38   0.702    -.0192379    .0129635
                  38  |   .0084637   .0123808     0.68   0.494    -.0158427    .0327702
                  39  |  -.0142763   .0083128    -1.72   0.086    -.0305963    .0020438
                  40  |  -.0142033   .0083283    -1.71   0.089    -.0305538    .0021472
                  41  |  -.0161209   .0088535    -1.82   0.069    -.0335025    .0012607
                  42  |   -.016117   .0079393    -2.03   0.043    -.0317037   -.0005303
                  44  |   .0100024   .0067333     1.49   0.138    -.0032166    .0232214
                  45  |   .0085103    .011261     0.76   0.450    -.0135978    .0306184
                  46  |    .021851   .0165578     1.32   0.187     -.010656    .0543579
                  47  |  -.0061743   .0113351    -0.54   0.586    -.0284278    .0160792
                  48  |  -.0048149   .0075619    -0.64   0.525    -.0196606    .0100309
                  49  |    .012159   .0104313     1.17   0.244    -.0083202    .0326381
                  50  |   .0099428   .0143255     0.69   0.488    -.0181817    .0380673
                  51  |  -.0095347   .0085034    -1.12   0.263     -.026229    .0071595
                  53  |  -.0096491   .0074092    -1.30   0.193    -.0241951    .0048969
                  54  |  -.0323736   .0090918    -3.56   0.000    -.0502231   -.0145241
                  55  |  -.0082481   .0102514    -0.80   0.421    -.0283741    .0118779
                  56  |  -.0159701    .013904    -1.15   0.251    -.0432671    .0113269
                      |
             year2020 |  -.0339796   .0015611   -21.77   0.000    -.0370444   -.0309148
                _cons |   .1534789   .0177979     8.62   0.000     .1185374    .1884205
---------------------------------------------------------------------------------------
(est5 stored)

. eststo: reg donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state year2020, cluster(czone)  

Linear regression                               Number of obs     =    276,951
                                                F(67, 725)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0248
                                                Root MSE          =     .33431

                                         (Std. Err. adjusted for 726 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0083517   .0009054    -9.22   0.000    -.0101292   -.0065743
              ideo5_3 |   .0027121   .0007048     3.85   0.000     .0013283    .0040958
      cz_mean_ideo5_3 |   .0162388   .0041942     3.87   0.000     .0080046     .024473
             fb_share |  -.0274257   .0149138    -1.84   0.066    -.0567051    .0018537
                  age |  -.0024301   .0000615   -39.52   0.000    -.0025508   -.0023094
               female |  -.0339032    .001643   -20.63   0.000    -.0371289   -.0306775
              college |   .0744218   .0038819    19.17   0.000     .0668007     .082043
                   hs |   .0442245   .0038761    11.41   0.000     .0366147    .0518342
          citizen_dum |   .0372807   .0065526     5.69   0.000     .0244164     .050145
          income_100k |   .0295105   .0020011    14.75   0.000      .025582    .0334391
           income_50k |   .0272026   .0016519    16.47   0.000     .0239595    .0304458
                white |  -.0222287   .0041887    -5.31   0.000    -.0304521   -.0140052
                black |  -.0525194   .0047985   -10.94   0.000      -.06194   -.0430987
        race_hispanic |  -.0010125   .0049446    -0.20   0.838    -.0107199     .008695
                asian |  -.0320495   .0059691    -5.37   0.000    -.0437682   -.0203307
nohealthinsurance_dum |  -.0230819   .0025056    -9.21   0.000    -.0280011   -.0181628
            log_blood |   .0029414   .0015989     1.84   0.066    -.0001975    .0060803
L1_firearm_death_rate |  -.0005193   .0008797    -0.59   0.555    -.0022465    .0012078
    incarcerated_rate |   .0283923   .0588254     0.48   0.629    -.0870961    .1438806
                      |
                state |
                   2  |  -.0281654   .0092995    -3.03   0.003    -.0464226   -.0099081
                   4  |  -.0195878   .0068162    -2.87   0.004    -.0329696   -.0062059
                   5  |  -.0149956   .0086415    -1.74   0.083     -.031961    .0019698
                   6  |  -.0033377   .0076515    -0.44   0.663    -.0183594     .011684
                   8  |  -.0270037   .0099761    -2.71   0.007    -.0465893   -.0074182
                   9  |  -.0147549   .0067911    -2.17   0.030    -.0280875   -.0014223
                  10  |   .0269556   .0081302     3.32   0.001      .010994    .0429172
                  11  |  -.0488753   .0071294    -6.86   0.000    -.0628719   -.0348786
                  12  |   .0165026   .0074057     2.23   0.026     .0019634    .0310418
                  13  |   .0033758   .0072567     0.47   0.642    -.0108709    .0176225
                  15  |  -.0237862   .0103553    -2.30   0.022    -.0441163   -.0034562
                  16  |  -.0053984   .0135522    -0.40   0.690    -.0320046    .0212078
                  17  |  -.0021089   .0075998    -0.28   0.781    -.0170293    .0128114
                  18  |  -.0043005   .0089778    -0.48   0.632    -.0219262    .0133251
                  19  |   .0023585   .0087426     0.27   0.787    -.0148053    .0195222
                  20  |   .0008207   .0079589     0.10   0.918    -.0148045     .016446
                  21  |  -.0109116   .0083268    -1.31   0.190    -.0272592    .0054359
                  22  |   .0112059   .0096072     1.17   0.244    -.0076555    .0300672
                  23  |  -.0121348    .010999    -1.10   0.270    -.0337285    .0094589
                  24  |  -.0181589   .0073093    -2.48   0.013    -.0325087    -.003809
                  25  |  -.0119906   .0069755    -1.72   0.086    -.0256851    .0017039
                  26  |   -.013174   .0070844    -1.86   0.063    -.0270823    .0007343
                  27  |  -.0020461   .0085458    -0.24   0.811    -.0188236    .0147313
                  28  |   .0116014    .008671     1.34   0.181    -.0054219    .0286246
                  29  |  -.0043317   .0085108    -0.51   0.611    -.0210405    .0123772
                  30  |  -.0116339   .0094122    -1.24   0.217    -.0301124    .0068446
                  31  |   .0118367   .0169498     0.70   0.485    -.0214398    .0451133
                  32  |  -.0055101   .0070377    -0.78   0.434    -.0193268    .0083067
                  33  |    -.00962   .0071535    -1.34   0.179    -.0236641    .0044241
                  34  |  -.0163661   .0103884    -1.58   0.116     -.036761    .0040288
                  35  |  -.0229738   .0091727    -2.50   0.012    -.0409819   -.0049657
                  36  |  -.0045918   .0070629    -0.65   0.516     -.018458    .0092745
                  37  |  -.0028233   .0082256    -0.34   0.732    -.0189721    .0133255
                  38  |   .0089041   .0123724     0.72   0.472     -.015386    .0331941
                  39  |  -.0138802   .0083249    -1.67   0.096    -.0302239    .0024635
                  40  |  -.0139155   .0083208    -1.67   0.095    -.0302511    .0024202
                  41  |  -.0153364   .0088528    -1.73   0.084    -.0327166    .0020437
                  42  |  -.0157406   .0079503    -1.98   0.048     -.031349   -.0001323
                  44  |   .0108157   .0067515     1.60   0.110    -.0024391    .0240705
                  45  |   .0086435   .0112717     0.77   0.443    -.0134856    .0307725
                  46  |   .0222626   .0165919     1.34   0.180    -.0103112    .0548364
                  47  |  -.0058885   .0113518    -0.52   0.604    -.0281748    .0163979
                  48  |  -.0044953   .0075617    -0.59   0.552    -.0193407    .0103501
                  49  |   .0125123   .0105001     1.19   0.234    -.0081019    .0331264
                  50  |   .0107795   .0143353     0.75   0.452    -.0173642    .0389232
                  51  |  -.0092976    .008524    -1.09   0.276    -.0260323    .0074371
                  53  |  -.0090421   .0074024    -1.22   0.222    -.0235747    .0054905
                  54  |  -.0318976   .0091225    -3.50   0.000    -.0498073    -.013988
                  55  |  -.0078466   .0102097    -0.77   0.442    -.0278907    .0121975
                  56  |  -.0154506   .0139202    -1.11   0.267    -.0427792     .011878
                      |
             year2020 |  -.0339671   .0015609   -21.76   0.000    -.0370315   -.0309027
                _cons |   .1527515    .017818     8.57   0.000     .1177704    .1877325
---------------------------------------------------------------------------------------
(est6 stored)

. 
. eststo: reg donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state year2020 , cluster(czone)  

Linear regression                               Number of obs     =    276,951
                                                F(66, 725)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0247
                                                Root MSE          =     .33432

                                         (Std. Err. adjusted for 726 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0085255   .0009069    -9.40   0.000     -.010306   -.0067451
      cz_mean_ideo5_3 |   .0186043   .0042895     4.34   0.000      .010183    .0270256
             fb_share |   -.025464   .0150616    -1.69   0.091    -.0550335    .0041054
                  age |  -.0024018   .0000601   -39.93   0.000    -.0025199   -.0022837
               female |  -.0344318   .0016259   -21.18   0.000    -.0376238   -.0312398
              college |    .073511   .0038951    18.87   0.000      .065864    .0811581
                   hs |   .0440738    .003877    11.37   0.000     .0364624    .0516852
          citizen_dum |    .037545   .0065543     5.73   0.000     .0246773    .0504128
          income_100k |   .0299747   .0020175    14.86   0.000     .0260138    .0339356
           income_50k |    .027479   .0016511    16.64   0.000     .0242376    .0307205
                white |  -.0223897   .0041813    -5.35   0.000    -.0305985   -.0141808
                black |  -.0535319   .0047508   -11.27   0.000    -.0628589   -.0442049
        race_hispanic |   -.001413   .0049334    -0.29   0.775    -.0110986    .0082725
                asian |  -.0321883   .0059568    -5.40   0.000    -.0438829   -.0204938
nohealthinsurance_dum |   -.023102   .0025093    -9.21   0.000    -.0280283   -.0181757
            log_blood |   .0027282   .0016128     1.69   0.091    -.0004381    .0058944
L1_firearm_death_rate |  -.0005486   .0008767    -0.63   0.532    -.0022699    .0011726
    incarcerated_rate |   .0290749   .0587619     0.49   0.621    -.0862888    .1444386
                      |
                state |
                   2  |  -.0286747   .0093066    -3.08   0.002    -.0469458   -.0104037
                   4  |  -.0201717   .0068089    -2.96   0.003    -.0335391   -.0068042
                   5  |  -.0153809   .0086412    -1.78   0.076    -.0323457    .0015839
                   6  |  -.0040623   .0076463    -0.53   0.595    -.0190738    .0109492
                   8  |  -.0274363   .0099848    -2.75   0.006    -.0470388   -.0078338
                   9  |  -.0154605   .0067824    -2.28   0.023     -.028776    -.002145
                  10  |   .0263281   .0080914     3.25   0.001     .0104426    .0422136
                  11  |  -.0499482   .0071088    -7.03   0.000    -.0639044    -.035992
                  12  |   .0159503   .0074035     2.15   0.032     .0014154    .0304853
                  13  |   .0031878   .0072483     0.44   0.660    -.0110425    .0174181
                  15  |  -.0247028   .0104015    -2.37   0.018    -.0451235    -.004282
                  16  |  -.0058446   .0135784    -0.43   0.667    -.0325023    .0208132
                  17  |  -.0024084   .0075618    -0.32   0.750     -.017254    .0124372
                  18  |    -.00464   .0089756    -0.52   0.605    -.0222612    .0129813
                  19  |   .0018879   .0087252     0.22   0.829    -.0152417    .0190175
                  20  |   .0003565   .0079534     0.04   0.964     -.015258     .015971
                  21  |   -.011239    .008305    -1.35   0.176    -.0275436    .0050657
                  22  |   .0111472   .0095815     1.16   0.245    -.0076637     .029958
                  23  |  -.0127884    .010994    -1.16   0.245    -.0343723    .0087955
                  24  |  -.0184697   .0072964    -2.53   0.012    -.0327942   -.0041451
                  25  |  -.0125745   .0069586    -1.81   0.071    -.0262358    .0010869
                  26  |  -.0135884    .007068    -1.92   0.055    -.0274646    .0002878
                  27  |  -.0024755   .0085176    -0.29   0.771    -.0191976    .0142466
                  28  |   .0116128   .0086681     1.34   0.181    -.0054047    .0286303
                  29  |  -.0046089   .0085153    -0.54   0.588    -.0213265    .0121087
                  30  |  -.0122109   .0094094    -1.30   0.195    -.0306839     .006262
                  31  |   .0114474   .0169058     0.68   0.499    -.0217429    .0446376
                  32  |  -.0063374   .0070261    -0.90   0.367    -.0201313    .0074565
                  33  |  -.0103038   .0071358    -1.44   0.149    -.0243131    .0037054
                  34  |  -.0168714   .0104297    -1.62   0.106    -.0373474    .0036046
                  35  |  -.0235938   .0091424    -2.58   0.010    -.0415426   -.0056451
                  36  |  -.0051303   .0070485    -0.73   0.467    -.0189682    .0087075
                  37  |  -.0031372   .0082011    -0.38   0.702    -.0192379    .0129635
                  38  |   .0084637   .0123808     0.68   0.494    -.0158427    .0327702
                  39  |  -.0142763   .0083128    -1.72   0.086    -.0305963    .0020438
                  40  |  -.0142033   .0083283    -1.71   0.089    -.0305538    .0021472
                  41  |  -.0161209   .0088535    -1.82   0.069    -.0335025    .0012607
                  42  |   -.016117   .0079393    -2.03   0.043    -.0317037   -.0005303
                  44  |   .0100024   .0067333     1.49   0.138    -.0032166    .0232214
                  45  |   .0085103    .011261     0.76   0.450    -.0135978    .0306184
                  46  |    .021851   .0165578     1.32   0.187     -.010656    .0543579
                  47  |  -.0061743   .0113351    -0.54   0.586    -.0284278    .0160792
                  48  |  -.0048149   .0075619    -0.64   0.525    -.0196606    .0100309
                  49  |    .012159   .0104313     1.17   0.244    -.0083202    .0326381
                  50  |   .0099428   .0143255     0.69   0.488    -.0181817    .0380673
                  51  |  -.0095347   .0085034    -1.12   0.263     -.026229    .0071595
                  53  |  -.0096491   .0074092    -1.30   0.193    -.0241951    .0048969
                  54  |  -.0323736   .0090918    -3.56   0.000    -.0502231   -.0145241
                  55  |  -.0082481   .0102514    -0.80   0.421    -.0283741    .0118779
                  56  |  -.0159701    .013904    -1.15   0.251    -.0432671    .0113269
                      |
             year2020 |  -.0339796   .0015611   -21.77   0.000    -.0370444   -.0309148
                _cons |   .1534789   .0177979     8.62   0.000     .1185374    .1884205
---------------------------------------------------------------------------------------
(est7 stored)

. eststo: reg donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state year2020, cluster(czone)  

Linear regression                               Number of obs     =    276,951
                                                F(67, 725)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0248
                                                Root MSE          =     .33431

                                         (Std. Err. adjusted for 726 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0083517   .0009054    -9.22   0.000    -.0101292   -.0065743
              ideo5_3 |   .0027121   .0007048     3.85   0.000     .0013283    .0040958
      cz_mean_ideo5_3 |   .0162388   .0041942     3.87   0.000     .0080046     .024473
             fb_share |  -.0274257   .0149138    -1.84   0.066    -.0567051    .0018537
                  age |  -.0024301   .0000615   -39.52   0.000    -.0025508   -.0023094
               female |  -.0339032    .001643   -20.63   0.000    -.0371289   -.0306775
              college |   .0744218   .0038819    19.17   0.000     .0668007     .082043
                   hs |   .0442245   .0038761    11.41   0.000     .0366147    .0518342
          citizen_dum |   .0372807   .0065526     5.69   0.000     .0244164     .050145
          income_100k |   .0295105   .0020011    14.75   0.000      .025582    .0334391
           income_50k |   .0272026   .0016519    16.47   0.000     .0239595    .0304458
                white |  -.0222287   .0041887    -5.31   0.000    -.0304521   -.0140052
                black |  -.0525194   .0047985   -10.94   0.000      -.06194   -.0430987
        race_hispanic |  -.0010125   .0049446    -0.20   0.838    -.0107199     .008695
                asian |  -.0320495   .0059691    -5.37   0.000    -.0437682   -.0203307
nohealthinsurance_dum |  -.0230819   .0025056    -9.21   0.000    -.0280011   -.0181628
            log_blood |   .0029414   .0015989     1.84   0.066    -.0001975    .0060803
L1_firearm_death_rate |  -.0005193   .0008797    -0.59   0.555    -.0022465    .0012078
    incarcerated_rate |   .0283923   .0588254     0.48   0.629    -.0870961    .1438806
                      |
                state |
                   2  |  -.0281654   .0092995    -3.03   0.003    -.0464226   -.0099081
                   4  |  -.0195878   .0068162    -2.87   0.004    -.0329696   -.0062059
                   5  |  -.0149956   .0086415    -1.74   0.083     -.031961    .0019698
                   6  |  -.0033377   .0076515    -0.44   0.663    -.0183594     .011684
                   8  |  -.0270037   .0099761    -2.71   0.007    -.0465893   -.0074182
                   9  |  -.0147549   .0067911    -2.17   0.030    -.0280875   -.0014223
                  10  |   .0269556   .0081302     3.32   0.001      .010994    .0429172
                  11  |  -.0488753   .0071294    -6.86   0.000    -.0628719   -.0348786
                  12  |   .0165026   .0074057     2.23   0.026     .0019634    .0310418
                  13  |   .0033758   .0072567     0.47   0.642    -.0108709    .0176225
                  15  |  -.0237862   .0103553    -2.30   0.022    -.0441163   -.0034562
                  16  |  -.0053984   .0135522    -0.40   0.690    -.0320046    .0212078
                  17  |  -.0021089   .0075998    -0.28   0.781    -.0170293    .0128114
                  18  |  -.0043005   .0089778    -0.48   0.632    -.0219262    .0133251
                  19  |   .0023585   .0087426     0.27   0.787    -.0148053    .0195222
                  20  |   .0008207   .0079589     0.10   0.918    -.0148045     .016446
                  21  |  -.0109116   .0083268    -1.31   0.190    -.0272592    .0054359
                  22  |   .0112059   .0096072     1.17   0.244    -.0076555    .0300672
                  23  |  -.0121348    .010999    -1.10   0.270    -.0337285    .0094589
                  24  |  -.0181589   .0073093    -2.48   0.013    -.0325087    -.003809
                  25  |  -.0119906   .0069755    -1.72   0.086    -.0256851    .0017039
                  26  |   -.013174   .0070844    -1.86   0.063    -.0270823    .0007343
                  27  |  -.0020461   .0085458    -0.24   0.811    -.0188236    .0147313
                  28  |   .0116014    .008671     1.34   0.181    -.0054219    .0286246
                  29  |  -.0043317   .0085108    -0.51   0.611    -.0210405    .0123772
                  30  |  -.0116339   .0094122    -1.24   0.217    -.0301124    .0068446
                  31  |   .0118367   .0169498     0.70   0.485    -.0214398    .0451133
                  32  |  -.0055101   .0070377    -0.78   0.434    -.0193268    .0083067
                  33  |    -.00962   .0071535    -1.34   0.179    -.0236641    .0044241
                  34  |  -.0163661   .0103884    -1.58   0.116     -.036761    .0040288
                  35  |  -.0229738   .0091727    -2.50   0.012    -.0409819   -.0049657
                  36  |  -.0045918   .0070629    -0.65   0.516     -.018458    .0092745
                  37  |  -.0028233   .0082256    -0.34   0.732    -.0189721    .0133255
                  38  |   .0089041   .0123724     0.72   0.472     -.015386    .0331941
                  39  |  -.0138802   .0083249    -1.67   0.096    -.0302239    .0024635
                  40  |  -.0139155   .0083208    -1.67   0.095    -.0302511    .0024202
                  41  |  -.0153364   .0088528    -1.73   0.084    -.0327166    .0020437
                  42  |  -.0157406   .0079503    -1.98   0.048     -.031349   -.0001323
                  44  |   .0108157   .0067515     1.60   0.110    -.0024391    .0240705
                  45  |   .0086435   .0112717     0.77   0.443    -.0134856    .0307725
                  46  |   .0222626   .0165919     1.34   0.180    -.0103112    .0548364
                  47  |  -.0058885   .0113518    -0.52   0.604    -.0281748    .0163979
                  48  |  -.0044953   .0075617    -0.59   0.552    -.0193407    .0103501
                  49  |   .0125123   .0105001     1.19   0.234    -.0081019    .0331264
                  50  |   .0107795   .0143353     0.75   0.452    -.0173642    .0389232
                  51  |  -.0092976    .008524    -1.09   0.276    -.0260323    .0074371
                  53  |  -.0090421   .0074024    -1.22   0.222    -.0235747    .0054905
                  54  |  -.0318976   .0091225    -3.50   0.000    -.0498073    -.013988
                  55  |  -.0078466   .0102097    -0.77   0.442    -.0278907    .0121975
                  56  |  -.0154506   .0139202    -1.11   0.267    -.0427792     .011878
                      |
             year2020 |  -.0339671   .0015609   -21.76   0.000    -.0370315   -.0309027
                _cons |   .1527515    .017818     8.57   0.000     .1177704    .1877325
---------------------------------------------------------------------------------------
(est8 stored)

. 
. esttab using "TableA13.tex", label keep(dist_st_ideo5_3 st_mean_ideo5_3 dist_cz_ideo5_3 cz_mean_ide
> o5_3 ideo5_3 fb_share age female college hs citizen_dum income_100k income_50k nohealthinsurance_du
> m log_blood L1_firearm_death_rate incarcerated_rate year2020) order(dist_st_ideo5_3 st_mean_ideo5_3
>  dist_cz_ideo5_3 cz_mean_ideo5_3 ideo5_3 fb_share age female college hs citizen_dum income_100k inc
> ome_50k nohealthinsurance_dum log_blood L1_firearm_death_rate incarcerated_rate year2020) nonotes s
> e(3) b(3) replace star(+ 0.10 * 0.05 ** 0.01) compress nogaps nodepvars indicate("State FE = *state
> *") 
(output written to TableA13.tex)

. 
. * Table A14: Social Diversity and Blood Donation: Controlling for 2020
.         
. eststo clear

. 
. * Age < 40
. eststo: reg donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state year2020 if age < 40 , cluster(state)  

Linear regression                               Number of obs     =     68,367
                                                F(18, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0140
                                                Root MSE          =     .37499

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0085162    .002097    -4.06   0.000    -.0127282   -.0043043
      st_mean_ideo5_3 |   .0315943    .015805     2.00   0.051     -.000151    .0633396
             fb_share |  -.0277735   .0374148    -0.74   0.461    -.1029233    .0473763
                  age |  -.0034394   .0002926   -11.76   0.000     -.004027   -.0028518
               female |  -.0297216   .0032051    -9.27   0.000    -.0361593    -.023284
              college |   .0767913   .0078371     9.80   0.000     .0610501    .0925325
                   hs |   .0649434   .0072085     9.01   0.000     .0504647    .0794222
          citizen_dum |   .0408222   .0078042     5.23   0.000      .025147    .0564975
          income_100k |   .0108114   .0044011     2.46   0.018     .0019716    .0196513
           income_50k |   .0226055   .0049644     4.55   0.000     .0126341    .0325768
                white |  -.0109698   .0070244    -1.56   0.125    -.0250786     .003139
                black |  -.0284653   .0086977    -3.27   0.002    -.0459351   -.0109955
        race_hispanic |   .0216153   .0079473     2.72   0.009     .0056527    .0375778
                asian |  -.0055714   .0088379    -0.63   0.531    -.0233228      .01218
nohealthinsurance_dum |  -.0449899   .0041268   -10.90   0.000    -.0532789   -.0367009
            log_blood |  -.0008834   .0020435    -0.43   0.667     -.004988    .0032212
L1_firearm_death_rate |  -.0037217   .0022233    -1.67   0.100    -.0081872    .0007438
    incarcerated_rate |   .0407175   .1390137     0.29   0.771    -.2384999    .3199348
                      |
                state |
                   2  |  -.0298329    .003349    -8.91   0.000    -.0365595   -.0231062
                   4  |  -.0051279   .0044489    -1.15   0.255    -.0140638    .0038079
                   5  |   .0033378   .0029327     1.14   0.260    -.0025528    .0092284
                   6  |   .0118713   .0116202     1.02   0.312    -.0114686    .0352113
                   8  |  -.0303424   .0049282    -6.16   0.000     -.040241   -.0204439
                   9  |  -.0146729   .0080648    -1.82   0.075    -.0308715    .0015257
                  10  |    .016143    .005576     2.90   0.006     .0049432    .0273428
                  11  |  -.0179364    .017724    -1.01   0.316    -.0535362    .0176634
                  12  |     .03441   .0066103     5.21   0.000     .0211329    .0476871
                  13  |   .0201775   .0042733     4.72   0.000     .0115942    .0287607
                  15  |   .0271237   .0097159     2.79   0.007     .0076087    .0466388
                  16  |  -.0087884   .0033053    -2.66   0.011    -.0154273   -.0021495
                  17  |   .0060325   .0070324     0.86   0.395    -.0080925    .0201575
                  18  |   .0002366   .0028225     0.08   0.934    -.0054326    .0059059
                  19  |   .0032066   .0042793     0.75   0.457    -.0053886    .0118018
                  20  |   .0158787    .003534     4.49   0.000     .0087805    .0229769
                  21  |   .0034715   .0030743     1.13   0.264    -.0027033    .0096463
                  22  |   .0016312   .0026738     0.61   0.545    -.0037392    .0070016
                  23  |  -.0278142   .0054749    -5.08   0.000    -.0388109   -.0168174
                  24  |   -.024623   .0082903    -2.97   0.005    -.0412746   -.0079714
                  25  |  -.0082237   .0102672    -0.80   0.427     -.028846    .0123986
                  26  |  -.0227392   .0051329    -4.43   0.000    -.0330489   -.0124295
                  27  |   .0004973   .0060206     0.08   0.934    -.0115954    .0125901
                  28  |   .0404014   .0012085    33.43   0.000      .037974    .0428288
                  29  |  -.0054618    .002848    -1.92   0.061    -.0111821    .0002586
                  30  |  -.0336215   .0032674   -10.29   0.000    -.0401842   -.0270588
                  31  |  -.0088721   .0032994    -2.69   0.010    -.0154992    -.002245
                  32  |    .023306   .0079582     2.93   0.005     .0073216    .0392905
                  33  |  -.0350159   .0059607    -5.87   0.000    -.0469883   -.0230434
                  34  |  -.0060267    .009212    -0.65   0.516    -.0245295    .0124761
                  35  |   .0079083   .0055078     1.44   0.157    -.0031545    .0189711
                  36  |  -.0029153   .0105142    -0.28   0.783    -.0240337    .0182031
                  37  |   .0011894   .0040088     0.30   0.768    -.0068625    .0092414
                  38  |   .0013179   .0034285     0.38   0.702    -.0055685    .0082042
                  39  |  -.0117908   .0039392    -2.99   0.004    -.0197029   -.0038786
                  40  |  -.0196767   .0015658   -12.57   0.000    -.0228217   -.0165317
                  41  |  -.0298481   .0084821    -3.52   0.001     -.046885   -.0128113
                  42  |  -.0188726   .0039753    -4.75   0.000    -.0268573   -.0108879
                  44  |   .0425245    .009349     4.55   0.000     .0237464    .0613025
                  45  |   .0137967   .0026841     5.14   0.000     .0084055    .0191879
                  46  |   .0837366   .0032938    25.42   0.000     .0771209    .0903523
                  47  |   .0136017   .0026496     5.13   0.000     .0082799    .0189235
                  48  |   .0129863   .0044543     2.92   0.005     .0040396    .0219331
                  49  |  -.0044109   .0034928    -1.26   0.213    -.0114265    .0026047
                  50  |   .0548142   .0100111     5.48   0.000     .0347063    .0749221
                  51  |  -.0203156   .0057418    -3.54   0.001    -.0318483   -.0087828
                  53  |  -.0227994   .0082264    -2.77   0.008    -.0393226   -.0062761
                  54  |  -.0536882   .0031388   -17.10   0.000    -.0599926   -.0473839
                  55  |  -.0117226   .0036865    -3.18   0.003    -.0191271   -.0043181
                  56  |  -.0790857   .0037094   -21.32   0.000    -.0865363    -.071635
                      |
             year2020 |  -.0473651   .0038205   -12.40   0.000    -.0550388   -.0396914
                _cons |    .114716   .0546254     2.10   0.041     .0049976    .2244344
---------------------------------------------------------------------------------------
(est1 stored)

. eststo: reg donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state year2020 if age < 40 , cluster(state)  

Linear regression                               Number of obs     =     68,367
                                                F(19, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0142
                                                Root MSE          =     .37497

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0104486   .0020932    -4.99   0.000     -.014653   -.0062443
              ideo5_3 |  -.0042233   .0013229    -3.19   0.002    -.0068805   -.0015661
      st_mean_ideo5_3 |    .035538    .015762     2.25   0.029     .0038791    .0671968
             fb_share |  -.0278187   .0376424    -0.74   0.463    -.1034257    .0477883
                  age |  -.0033925   .0002923   -11.61   0.000    -.0039797   -.0028054
               female |  -.0301442   .0031932    -9.44   0.000     -.036558   -.0237304
              college |   .0756537   .0078977     9.58   0.000     .0597907    .0915168
                   hs |    .064528   .0072741     8.87   0.000     .0499175    .0791385
          citizen_dum |    .040853   .0077982     5.24   0.000     .0251898    .0565163
          income_100k |   .0111719   .0044068     2.54   0.014     .0023206    .0200231
           income_50k |   .0228534   .0049449     4.62   0.000     .0129212    .0327856
                white |  -.0103848    .007019    -1.48   0.145     -.024483    .0037133
                black |    -.02871    .008725    -3.29   0.002    -.0462346   -.0111854
        race_hispanic |   .0216507   .0079811     2.71   0.009     .0056201    .0376812
                asian |  -.0054349   .0088764    -0.61   0.543    -.0232637    .0123938
nohealthinsurance_dum |  -.0450903   .0041497   -10.87   0.000    -.0534252   -.0367555
            log_blood |  -.0014001   .0020938    -0.67   0.507    -.0056057    .0028054
L1_firearm_death_rate |  -.0038138   .0022231    -1.72   0.092     -.008279    .0006515
    incarcerated_rate |   .0457649   .1390975     0.33   0.744    -.2336206    .3251505
                      |
                state |
                   2  |  -.0298628   .0033544    -8.90   0.000    -.0366003   -.0231253
                   4  |  -.0057416   .0044654    -1.29   0.204    -.0147106    .0032274
                   5  |    .002863   .0029136     0.98   0.331    -.0029891    .0087151
                   6  |   .0119301   .0116832     1.02   0.312    -.0115364    .0353965
                   8  |  -.0308042   .0049369    -6.24   0.000    -.0407203   -.0208881
                   9  |  -.0152504   .0080871    -1.89   0.065    -.0314938    .0009931
                  10  |   .0158591   .0055862     2.84   0.007      .004639    .0270793
                  11  |   -.017173   .0177964    -0.96   0.339     -.052918    .0185721
                  12  |   .0342499   .0066661     5.14   0.000     .0208606    .0476391
                  13  |   .0199877   .0042916     4.66   0.000     .0113676    .0286077
                  15  |   .0271366   .0097461     2.78   0.008      .007561    .0467123
                  16  |  -.0093972   .0032708    -2.87   0.006    -.0159668   -.0028277
                  17  |   .0062583   .0071003     0.88   0.382    -.0080031    .0205197
                  18  |  -.0002014   .0028067    -0.07   0.943    -.0058388    .0054359
                  19  |   .0026174   .0042574     0.61   0.541    -.0059338    .0111686
                  20  |   .0152351   .0035072     4.34   0.000     .0081908    .0222795
                  21  |   .0026573   .0030344     0.88   0.385    -.0034375     .008752
                  22  |   .0011265   .0026297     0.43   0.670    -.0041554    .0064083
                  23  |  -.0291208   .0054469    -5.35   0.000    -.0400613   -.0181803
                  24  |  -.0247724     .00834    -2.97   0.005    -.0415238   -.0080209
                  25  |  -.0085383   .0103076    -0.83   0.411    -.0292417    .0121652
                  26  |  -.0232443   .0051263    -4.53   0.000    -.0335408   -.0129478
                  27  |    .000486    .006046     0.08   0.936    -.0116577    .0126298
                  28  |   .0401942   .0012454    32.27   0.000     .0376927    .0426957
                  29  |  -.0058007   .0028294    -2.05   0.046    -.0114838   -.0001176
                  30  |  -.0347319   .0032225   -10.78   0.000    -.0412045   -.0282592
                  31  |  -.0095169    .003267    -2.91   0.005    -.0160789    -.002955
                  32  |   .0229852   .0079916     2.88   0.006     .0069335    .0390368
                  33  |  -.0359265   .0059449    -6.04   0.000    -.0478671   -.0239859
                  34  |  -.0060641   .0092913    -0.65   0.517    -.0247262    .0125981
                  35  |   .0073318   .0055216     1.33   0.190    -.0037586    .0184222
                  36  |  -.0028266   .0105892    -0.27   0.791    -.0240956    .0184423
                  37  |   .0007868   .0040086     0.20   0.845    -.0072647    .0088383
                  38  |   .0009911   .0034107     0.29   0.773    -.0058595    .0078416
                  39  |  -.0124574   .0039163    -3.18   0.003    -.0203234   -.0045913
                  40  |  -.0200277   .0015718   -12.74   0.000    -.0231848   -.0168707
                  41  |  -.0304377   .0084828    -3.59   0.001    -.0474759   -.0133995
                  42  |  -.0192687   .0039686    -4.86   0.000    -.0272398   -.0112976
                  44  |   .0420117   .0093687     4.48   0.000     .0231942    .0608292
                  45  |   .0132487    .002658     4.98   0.000       .00791    .0185874
                  46  |   .0839046   .0033093    25.35   0.000     .0772577    .0905515
                  47  |    .013386   .0026405     5.07   0.000     .0080824    .0186896
                  48  |   .0129095   .0045009     2.87   0.006     .0038691    .0219499
                  49  |  -.0043788   .0034955    -1.25   0.216    -.0113997    .0026422
                  50  |   .0539814   .0099893     5.40   0.000     .0339173    .0740456
                  51  |  -.0205146    .005768    -3.56   0.001    -.0320999   -.0089293
                  53  |  -.0230597   .0082534    -2.79   0.007    -.0396372   -.0064823
                  54  |  -.0545016   .0031173   -17.48   0.000    -.0607628   -.0482404
                  55  |  -.0120924   .0036778    -3.29   0.002    -.0194795   -.0047054
                  56  |  -.0796014   .0036707   -21.69   0.000    -.0869743   -.0722286
                      |
             year2020 |  -.0475843   .0038106   -12.49   0.000    -.0552382   -.0399305
                _cons |   .1160936   .0545685     2.13   0.038     .0064896    .2256977
---------------------------------------------------------------------------------------
(est2 stored)

. 
. eststo: reg donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state year2020 if age < 40 , cluster(czone)  

Linear regression                               Number of obs     =     68,367
                                                F(66, 678)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0140
                                                Root MSE          =     .37499

                                         (Std. Err. adjusted for 679 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0086959   .0019082    -4.56   0.000    -.0124426   -.0049493
      cz_mean_ideo5_3 |   .0148017    .009027     1.64   0.102    -.0029226    .0325259
             fb_share |  -.0145025   .0305178    -0.48   0.635    -.0744231    .0454182
                  age |  -.0034549   .0002448   -14.11   0.000    -.0039355   -.0029742
               female |  -.0298114   .0034355    -8.68   0.000    -.0365569   -.0230659
              college |    .077023   .0087602     8.79   0.000     .0598227    .0942234
                   hs |   .0650156   .0083852     7.75   0.000     .0485516    .0814797
          citizen_dum |   .0408079   .0087479     4.66   0.000     .0236316    .0579842
          income_100k |   .0108571   .0042355     2.56   0.011     .0025409    .0191734
           income_50k |   .0226213   .0031646     7.15   0.000     .0164078    .0288348
                white |  -.0110172   .0064647    -1.70   0.089    -.0237105    .0016761
                black |  -.0281001   .0086982    -3.23   0.001    -.0451788   -.0110214
        race_hispanic |   .0216464   .0071278     3.04   0.002     .0076512    .0356415
                asian |   -.005607   .0087261    -0.64   0.521    -.0227405    .0115264
nohealthinsurance_dum |  -.0445568   .0043549   -10.23   0.000    -.0531075    -.036006
            log_blood |  -.0002856   .0024266    -0.12   0.906    -.0050502     .004479
L1_firearm_death_rate |  -.0037044   .0021504    -1.72   0.085    -.0079266    .0005179
    incarcerated_rate |   .0297196    .128182     0.23   0.817    -.2219618    .2814011
                      |
                state |
                   2  |  -.0302822   .0352455    -0.86   0.391    -.0994857    .0389213
                   4  |  -.0076179   .0187084    -0.41   0.684    -.0443511    .0291154
                   5  |   .0035324   .0228142     0.15   0.877    -.0412627    .0483274
                   6  |   .0015018   .0199309     0.08   0.940    -.0376319    .0406354
                   8  |  -.0350822   .0214934    -1.63   0.103    -.0772838    .0071194
                   9  |  -.0219098   .0184951    -1.18   0.237    -.0582243    .0144047
                  10  |   .0099596   .0297047     0.34   0.738    -.0483647    .0682839
                  11  |  -.0415588     .01897    -2.19   0.029    -.0788057   -.0043118
                  12  |    .029324    .019558     1.50   0.134    -.0090776    .0677256
                  13  |   .0172833   .0187422     0.92   0.357    -.0195165    .0540831
                  15  |   .0183562   .0277032     0.66   0.508    -.0360383    .0727506
                  16  |  -.0070482   .0230264    -0.31   0.760    -.0522599    .0381635
                  17  |  -.0016091   .0201163    -0.08   0.936    -.0411067    .0378886
                  18  |  -.0016871    .024002    -0.07   0.944    -.0488142    .0454401
                  19  |  -.0001032   .0243049    -0.00   0.997    -.0478251    .0476187
                  20  |   .0141291   .0210812     0.67   0.503    -.0272633    .0555214
                  21  |   .0025193   .0204459     0.12   0.902    -.0376255    .0426642
                  22  |   .0020248    .020775     0.10   0.922    -.0387662    .0428158
                  23  |  -.0317176    .021131    -1.50   0.134    -.0732077    .0097725
                  24  |  -.0321514    .020343    -1.58   0.114    -.0720942    .0077914
                  25  |   -.018892   .0188731    -1.00   0.317    -.0559487    .0181648
                  26  |  -.0272624   .0193325    -1.41   0.159    -.0652212    .0106964
                  27  |  -.0059865   .0199627    -0.30   0.764    -.0451826    .0332096
                  28  |   .0412873   .0224181     1.84   0.066    -.0027299    .0853045
                  29  |  -.0075008   .0187651    -0.40   0.689    -.0443455     .029344
                  30  |  -.0344982   .0256806    -1.34   0.180    -.0849212    .0159248
                  31  |   -.010707   .0206959    -0.52   0.605    -.0513429    .0299288
                  32  |    .016886   .0210636     0.80   0.423    -.0244718    .0582438
                  33  |  -.0399334   .0230115    -1.74   0.083    -.0851159    .0052491
                  34  |  -.0146359    .019433    -0.75   0.452    -.0527919    .0235202
                  35  |   .0031791    .021957     0.14   0.885    -.0399328     .046291
                  36  |   -.013051   .0196329    -0.66   0.506    -.0515995    .0254976
                  37  |  -.0016386   .0200466    -0.08   0.935    -.0409996    .0377223
                  38  |   .0016887   .0344478     0.05   0.961    -.0659485     .069326
                  39  |  -.0151547    .022018    -0.69   0.492    -.0583864     .028077
                  40  |  -.0197093   .0230327    -0.86   0.392    -.0649333    .0255146
                  41  |  -.0381677    .020337    -1.88   0.061    -.0780987    .0017634
                  42  |  -.0224928   .0190007    -1.18   0.237    -.0598001    .0148145
                  44  |   .0314877    .018569     1.70   0.090     -.004972    .0679473
                  45  |   .0142475   .0276292     0.52   0.606    -.0400015    .0684964
                  46  |   .0849352   .0275195     3.09   0.002     .0309014    .1389689
                  47  |   .0134847   .0201562     0.67   0.504    -.0260913    .0530608
                  48  |   .0098601   .0192998     0.51   0.610    -.0280345    .0477546
                  49  |  -.0054259   .0251536    -0.22   0.829    -.0548143    .0439625
                  50  |   .0441211   .0756856     0.58   0.560    -.1044852    .1927273
                  51  |  -.0247575   .0192516    -1.29   0.199    -.0625573    .0130424
                  53  |  -.0306067   .0188844    -1.62   0.106    -.0676855    .0064722
                  54  |  -.0530725   .0208707    -2.54   0.011    -.0940515   -.0120936
                  55  |   -.015063   .0208756    -0.72   0.471    -.0560516    .0259257
                  56  |   -.076866   .0325528    -2.36   0.018    -.1407824   -.0129497
                      |
             year2020 |  -.0497935   .0033884   -14.70   0.000    -.0564465   -.0431405
                _cons |   .1695956   .0389155     4.36   0.000     .0931863    .2460048
---------------------------------------------------------------------------------------
(est3 stored)

. eststo: reg donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state year2020 if age < 40, cluster(czone)  

Linear regression                               Number of obs     =     68,367
                                                F(67, 678)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0142
                                                Root MSE          =     .37497

                                         (Std. Err. adjusted for 679 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0107071   .0019779    -5.41   0.000    -.0145907   -.0068235
              ideo5_3 |  -.0044345   .0013376    -3.32   0.001    -.0070607   -.0018082
      cz_mean_ideo5_3 |   .0190791   .0090033     2.12   0.034     .0014015    .0367568
             fb_share |  -.0103114   .0305188    -0.34   0.736    -.0702342    .0496114
                  age |  -.0034067   .0002444   -13.94   0.000    -.0038865   -.0029268
               female |  -.0302716   .0034463    -8.78   0.000    -.0370383    -.023505
              college |   .0758677    .008785     8.64   0.000     .0586187    .0931167
                   hs |   .0645675   .0083806     7.70   0.000     .0481124    .0810227
          citizen_dum |    .040803   .0087399     4.67   0.000     .0236426    .0579635
          income_100k |   .0112794   .0042288     2.67   0.008     .0029763    .0195826
           income_50k |   .0229019   .0031653     7.24   0.000     .0166869     .029117
                white |  -.0104298    .006458    -1.62   0.107      -.02311    .0022503
                black |  -.0283309   .0087086    -3.25   0.001      -.04543   -.0112318
        race_hispanic |   .0216407   .0071502     3.03   0.003     .0076015      .03568
                asian |  -.0054309   .0087478    -0.62   0.535     -.022607    .0117452
nohealthinsurance_dum |  -.0446741   .0043638   -10.24   0.000    -.0532423    -.036106
            log_blood |   -.000677   .0024291    -0.28   0.781    -.0054465    .0040925
L1_firearm_death_rate |     -.0038   .0021405    -1.78   0.076    -.0080029    .0004029
    incarcerated_rate |    .031963   .1281161     0.25   0.803    -.2195891    .2835151
                      |
                state |
                   2  |  -.0302544   .0350402    -0.86   0.388    -.0990549     .038546
                   4  |  -.0085334   .0186196    -0.46   0.647    -.0450924    .0280257
                   5  |   .0031049   .0227833     0.14   0.892    -.0416295    .0478392
                   6  |   .0005686    .019864     0.03   0.977    -.0384338     .039571
                   8  |  -.0357953   .0214377    -1.67   0.095    -.0778876     .006297
                   9  |  -.0228613   .0184107    -1.24   0.215    -.0590102    .0132877
                  10  |   .0092631   .0298545     0.31   0.756    -.0493553    .0678816
                  11  |  -.0431152   .0188871    -2.28   0.023    -.0801996   -.0060309
                  12  |   .0285126   .0194789     1.46   0.144    -.0097336    .0667588
                  13  |   .0168425   .0186695     0.90   0.367    -.0198144    .0534995
                  15  |    .017664   .0276589     0.64   0.523    -.0366434    .0719715
                  16  |  -.0075726   .0231617    -0.33   0.744    -.0530499    .0379046
                  17  |  -.0018546   .0200339    -0.09   0.926    -.0411905    .0374813
                  18  |  -.0020849   .0238924    -0.09   0.930    -.0489969     .044827
                  19  |  -.0006839   .0242227    -0.03   0.977    -.0482444    .0468766
                  20  |   .0135303   .0209301     0.65   0.518    -.0275653     .054626
                  21  |   .0018825   .0203448     0.09   0.926    -.0380639     .041829
                  22  |   .0014763   .0206861     0.07   0.943    -.0391401    .0420928
                  23  |   -.032846   .0211347    -1.55   0.121    -.0743435    .0086514
                  24  |   -.032692   .0202698    -1.61   0.107    -.0724912    .0071072
                  25  |  -.0197272   .0187895    -1.05   0.294    -.0566197    .0171654
                  26  |  -.0277916   .0192515    -1.44   0.149    -.0655913     .010008
                  27  |  -.0061673   .0198999    -0.31   0.757    -.0452401    .0329055
                  28  |    .041233   .0223526     1.84   0.066    -.0026556    .0851215
                  29  |  -.0078638   .0186826    -0.42   0.674    -.0445465    .0288189
                  30  |  -.0354213   .0255448    -1.39   0.166    -.0855776    .0147351
                  31  |  -.0114341   .0206468    -0.55   0.580    -.0519734    .0291052
                  32  |   .0158231   .0209638     0.75   0.451    -.0253387    .0569849
                  33  |  -.0407863   .0229034    -1.78   0.075    -.0857564    .0041838
                  34  |  -.0154499   .0193694    -0.80   0.425    -.0534811    .0225813
                  35  |   .0024785   .0218753     0.11   0.910     -.040473    .0454301
                  36  |  -.0137365   .0195729    -0.70   0.483    -.0521673    .0246942
                  37  |  -.0021306   .0199681    -0.11   0.915    -.0413373    .0370762
                  38  |   .0017451   .0343767     0.05   0.960    -.0657525    .0692427
                  39  |  -.0158069   .0219407    -0.72   0.472    -.0588868     .027273
                  40  |  -.0200854   .0230244    -0.87   0.383    -.0652932    .0251223
                  41  |  -.0389999   .0202934    -1.92   0.055    -.0788453    .0008456
                  42  |  -.0229533   .0189309    -1.21   0.226    -.0601236    .0142169
                  44  |   .0302267   .0184807     1.64   0.102    -.0060597    .0665131
                  45  |   .0138268   .0276026     0.50   0.617      -.04037    .0680237
                  46  |   .0850428    .027524     3.09   0.002     .0310003    .1390853
                  47  |   .0132765   .0201355     0.66   0.510    -.0262588    .0528118
                  48  |   .0092603   .0192176     0.48   0.630    -.0284728    .0469935
                  49  |  -.0055741   .0250415    -0.22   0.824    -.0547423     .043594
                  50  |   .0431054   .0756897     0.57   0.569    -.1055089    .1917197
                  51  |   -.025091   .0191899    -1.31   0.191    -.0627698    .0125878
                  53  |  -.0312073   .0188169    -1.66   0.098    -.0681538    .0057392
                  54  |  -.0535709   .0208157    -2.57   0.010    -.0944419      -.0127
                  55  |  -.0152963   .0208483    -0.73   0.463    -.0562314    .0256388
                  56  |   -.077316   .0326692    -2.37   0.018    -.1414609   -.0131711
                      |
             year2020 |  -.0499903    .003384   -14.77   0.000    -.0566347   -.0433459
                _cons |    .170269   .0388539     4.38   0.000     .0939807    .2465574
---------------------------------------------------------------------------------------
(est4 stored)

.         
. * Age >= 40
. eststo: reg donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state year2020 if age >= 40 , cluster(state)  

Linear regression                               Number of obs     =    208,584
                                                F(18, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0260
                                                Root MSE          =     .31945

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0087072   .0011655    -7.47   0.000    -.0110482   -.0063662
      st_mean_ideo5_3 |    .050697   .0089205     5.68   0.000     .0327798    .0686143
             fb_share |  -.0462586   .0136494    -3.39   0.001    -.0736742   -.0188431
                  age |  -.0029707    .000135   -22.00   0.000    -.0032419   -.0026995
               female |  -.0346696   .0017639   -19.66   0.000    -.0382125   -.0311267
              college |   .0721613   .0039388    18.32   0.000     .0642499    .0800727
                   hs |   .0359222   .0034734    10.34   0.000     .0289458    .0428987
          citizen_dum |   .0314841   .0068033     4.63   0.000     .0178193    .0451489
          income_100k |   .0329984   .0024467    13.49   0.000      .028084    .0379128
           income_50k |   .0289641   .0021323    13.58   0.000     .0246813    .0332469
                white |  -.0253354   .0045185    -5.61   0.000    -.0344111   -.0162596
                black |  -.0654492   .0054418   -12.03   0.000    -.0763793   -.0545191
        race_hispanic |  -.0158008    .006916    -2.28   0.027    -.0296921   -.0019096
                asian |  -.0460124   .0078865    -5.83   0.000    -.0618529   -.0301719
nohealthinsurance_dum |  -.0168849   .0032603    -5.18   0.000    -.0234334   -.0103365
            log_blood |   .0032824   .0019723     1.66   0.102     -.000679    .0072438
L1_firearm_death_rate |   .0004773    .001018     0.47   0.641    -.0015673     .002522
    incarcerated_rate |   .0495133   .0809394     0.61   0.543    -.1130583    .2120849
                      |
                state |
                   2  |  -.0259184   .0018666   -13.89   0.000    -.0296675   -.0221693
                   4  |  -.0182234   .0020114    -9.06   0.000    -.0222634   -.0141833
                   5  |  -.0198281   .0015566   -12.74   0.000    -.0229546   -.0167016
                   6  |    .011855   .0048326     2.45   0.018     .0021485    .0215616
                   8  |  -.0163227   .0025896    -6.30   0.000    -.0215241   -.0111213
                   9  |  -.0005312    .004179    -0.13   0.899    -.0089249    .0078626
                  10  |   .0413172   .0029577    13.97   0.000     .0353765    .0472578
                  11  |  -.0035446   .0086376    -0.41   0.683    -.0208937    .0138046
                  12  |   .0212444   .0022341     9.51   0.000     .0167571    .0257318
                  13  |    .003409   .0018217     1.87   0.067      -.00025     .007068
                  15  |  -.0208613   .0046152    -4.52   0.000    -.0301312   -.0115914
                  16  |  -.0080777   .0015281    -5.29   0.000    -.0111469   -.0050084
                  17  |   .0113269    .003482     3.25   0.002     .0043331    .0183208
                  18  |  -.0015156    .001823    -0.83   0.410    -.0051773     .002146
                  19  |   .0088581   .0025456     3.48   0.001      .003745    .0139712
                  20  |   .0002236   .0020806     0.11   0.915    -.0039554    .0044026
                  21  |  -.0134109   .0018142    -7.39   0.000    -.0170547    -.009767
                  22  |   .0128958   .0010114    12.75   0.000     .0108643    .0149274
                  23  |  -.0011462   .0037434    -0.31   0.761    -.0086652    .0063727
                  24  |   .0012853   .0038276     0.34   0.738    -.0064027    .0089733
                  25  |   .0090122   .0051666     1.74   0.087    -.0013652    .0193896
                  26  |  -.0004529   .0030688    -0.15   0.883    -.0066168     .005711
                  27  |   .0109566   .0034847     3.14   0.003     .0039575    .0179557
                  28  |   .0005438   .0010009     0.54   0.589    -.0014666    .0025542
                  29  |   .0005044   .0015531     0.32   0.747    -.0026151    .0036239
                  30  |  -.0050313   .0022253    -2.26   0.028    -.0095009   -.0005617
                  31  |   .0229608   .0016358    14.04   0.000     .0196752    .0262464
                  32  |  -.0018666   .0032467    -0.57   0.568    -.0083877    .0046545
                  33  |   .0045231    .003663     1.23   0.223    -.0028343    .0118804
                  34  |  -.0031316   .0037779    -0.83   0.411    -.0107196    .0044565
                  35  |  -.0199249   .0034459    -5.78   0.000    -.0268463   -.0130036
                  36  |   .0171755   .0045749     3.75   0.000     .0079866    .0263645
                  37  |   .0019517   .0022403     0.87   0.388     -.002548    .0064514
                  38  |   .0149158   .0022201     6.72   0.000     .0104566    .0193749
                  39  |  -.0074891   .0024785    -3.02   0.004    -.0124673    -.002511
                  40  |  -.0130589    .000729   -17.91   0.000    -.0145232   -.0115947
                  41  |   .0059838    .004674     1.28   0.206    -.0034042    .0153719
                  42  |  -.0066779   .0023539    -2.84   0.007    -.0114058   -.0019499
                  44  |   .0226134   .0047681     4.74   0.000     .0130364    .0321904
                  45  |   .0066297   .0011641     5.70   0.000     .0042916    .0089677
                  46  |   .0003738   .0013006     0.29   0.775    -.0022385    .0029861
                  47  |  -.0120128   .0012086    -9.94   0.000    -.0144404   -.0095853
                  48  |  -.0044398   .0016568    -2.68   0.010    -.0077675    -.001112
                  49  |   .0248113   .0018266    13.58   0.000     .0211424    .0284803
                  50  |   .0206465   .0066391     3.11   0.003     .0073115    .0339815
                  51  |    .005434   .0027768     1.96   0.056    -.0001433    .0110113
                  53  |   .0105516   .0040786     2.59   0.013     .0023594    .0187438
                  54  |  -.0267713   .0020752   -12.90   0.000    -.0309394   -.0226032
                  55  |   .0007711   .0023334     0.33   0.742    -.0039157    .0054578
                  56  |  -.0050046   .0016968    -2.95   0.005    -.0084127   -.0015964
                      |
             year2020 |  -.0213381   .0018829   -11.33   0.000    -.0251201   -.0175562
                _cons |   .0959554   .0381102     2.52   0.015     .0194088     .172502
---------------------------------------------------------------------------------------
(est5 stored)

. eststo: reg donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state year2020 if age >= 40 , cluster(state)  

Linear regression                               Number of obs     =    208,584
                                                F(19, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0262
                                                Root MSE          =      .3194

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0090516   .0011743    -7.71   0.000    -.0114103   -.0066929
              ideo5_3 |   .0047072   .0006289     7.48   0.000      .003444    .0059705
      st_mean_ideo5_3 |    .046953   .0087519     5.36   0.000     .0293743    .0645317
             fb_share |  -.0447007   .0134725    -3.32   0.002     -.071761   -.0176405
                  age |    -.00301    .000136   -22.13   0.000    -.0032832   -.0027369
               female |  -.0336247     .00178   -18.89   0.000    -.0371999   -.0300494
              college |   .0739867   .0039865    18.56   0.000     .0659797    .0819938
                   hs |   .0361677   .0035043    10.32   0.000     .0291292    .0432062
          citizen_dum |   .0303287   .0067501     4.49   0.000     .0167707    .0438866
          income_100k |   .0321444   .0024537    13.10   0.000     .0272161    .0370728
           income_50k |   .0284733    .002133    13.35   0.000      .024189    .0327576
                white |  -.0247045   .0045416    -5.44   0.000    -.0338267   -.0155823
                black |   -.062987   .0054788   -11.50   0.000    -.0739915   -.0519824
        race_hispanic |  -.0148767   .0068127    -2.18   0.034    -.0285604    -.001193
                asian |  -.0458136   .0078397    -5.84   0.000    -.0615601   -.0300671
nohealthinsurance_dum |  -.0168857   .0032538    -5.19   0.000    -.0234211   -.0103503
            log_blood |   .0037832   .0019874     1.90   0.063    -.0002085    .0077749
L1_firearm_death_rate |   .0005013   .0010291     0.49   0.628    -.0015657    .0025683
    incarcerated_rate |   .0462205   .0807419     0.57   0.570    -.1159543    .2083954
                      |
                state |
                   2  |  -.0248408   .0019024   -13.06   0.000     -.028662   -.0210197
                   4  |  -.0175235   .0020213    -8.67   0.000    -.0215834   -.0134636
                   5  |  -.0191813   .0015843   -12.11   0.000    -.0223634   -.0159992
                   6  |    .012173   .0048128     2.53   0.015     .0025061    .0218398
                   8  |  -.0158894   .0026133    -6.08   0.000    -.0211384   -.0106404
                   9  |   .0003374   .0041923     0.08   0.936    -.0080829    .0087578
                  10  |   .0420762   .0029953    14.05   0.000       .03606    .0480924
                  11  |  -.0043064    .008608    -0.50   0.619     -.021596    .0129832
                  12  |   .0214955   .0022385     9.60   0.000     .0169995    .0259916
                  13  |   .0033752   .0018162     1.86   0.069    -.0002726    .0070231
                  15  |  -.0195119   .0046543    -4.19   0.000    -.0288604   -.0101634
                  16  |  -.0071148   .0015547    -4.58   0.000    -.0102375   -.0039921
                  17  |   .0113467   .0035044     3.24   0.002      .004308    .0183855
                  18  |  -.0008694   .0018548    -0.47   0.641    -.0045949    .0028562
                  19  |   .0097733   .0025904     3.77   0.000     .0045703    .0149763
                  20  |   .0010771   .0021178     0.51   0.613    -.0031765    .0053308
                  21  |  -.0128165   .0018475    -6.94   0.000    -.0165273   -.0091057
                  22  |   .0128727   .0010268    12.54   0.000     .0108104     .014935
                  23  |   .0001114   .0037949     0.03   0.977    -.0075109    .0077337
                  24  |   .0013062   .0038183     0.34   0.734    -.0063631    .0089756
                  25  |   .0095424   .0051809     1.84   0.071    -.0008639    .0199486
                  26  |   .0002707    .003099     0.09   0.931    -.0059538    .0064951
                  27  |   .0116423   .0035267     3.30   0.002     .0045587     .018726
                  28  |   .0006909    .001009     0.68   0.497    -.0013356    .0027175
                  29  |   .0009999   .0015868     0.63   0.531    -.0021873    .0041871
                  30  |  -.0038266   .0022858    -1.67   0.100    -.0084177    .0007645
                  31  |   .0234619    .001661    14.12   0.000     .0201256    .0267981
                  32  |  -.0011184   .0032512    -0.34   0.732    -.0076486    .0054118
                  33  |   .0058767   .0037107     1.58   0.120    -.0015764    .0133298
                  34  |  -.0030341   .0037746    -0.80   0.425    -.0106156    .0045473
                  35  |  -.0189166   .0034747    -5.44   0.000    -.0258956   -.0119375
                  36  |   .0173526   .0045766     3.79   0.000     .0081602    .0265451
                  37  |   .0023297   .0022512     1.03   0.306     -.002192    .0068513
                  38  |    .016204   .0022771     7.12   0.000     .0116304    .0207776
                  39  |  -.0068163   .0025123    -2.71   0.009    -.0118623   -.0017702
                  40  |    -.01263   .0007205   -17.53   0.000    -.0140771   -.0111828
                  41  |   .0071674   .0047208     1.52   0.135    -.0023147    .0166494
                  42  |  -.0061387   .0023893    -2.57   0.013    -.0109378   -.0013396
                  44  |   .0233414   .0048004     4.86   0.000     .0136994    .0329834
                  45  |    .006902   .0011751     5.87   0.000     .0045418    .0092621
                  46  |   .0013337   .0013306     1.00   0.321    -.0013389    .0040063
                  47  |   -.011473   .0012417    -9.24   0.000    -.0139671    -.008979
                  48  |  -.0045534   .0016627    -2.74   0.009    -.0078931   -.0012137
                  49  |   .0256019   .0018518    13.83   0.000     .0218824    .0293215
                  50  |   .0222412   .0066957     3.32   0.002     .0087926    .0356899
                  51  |   .0056017   .0027648     2.03   0.048     .0000485    .0111549
                  53  |   .0113729   .0041084     2.77   0.008     .0031209    .0196249
                  54  |  -.0255915   .0021313   -12.01   0.000    -.0298722   -.0213107
                  55  |   .0015911   .0023722     0.67   0.505    -.0031736    .0063558
                  56  |  -.0038828   .0017303    -2.24   0.029    -.0073582   -.0004073
                      |
             year2020 |  -.0213886   .0018858   -11.34   0.000    -.0251763    -.017601
                _cons |   .0933314   .0381341     2.45   0.018     .0167367    .1699261
---------------------------------------------------------------------------------------
(est6 stored)

. 
. eststo: reg donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state year2020 if age >= 40 , cluster(czone)  

Linear regression                               Number of obs     =    208,584
                                                F(66, 721)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0258
                                                Root MSE          =     .31947

                                         (Std. Err. adjusted for 722 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0083326    .001082    -7.70   0.000    -.0104568   -.0062084
      cz_mean_ideo5_3 |   .0168453    .004316     3.90   0.000     .0083718    .0253187
             fb_share |  -.0280228   .0161289    -1.74   0.083    -.0596881    .0036425
                  age |  -.0029787   .0000856   -34.78   0.000    -.0031468   -.0028106
               female |  -.0348488   .0017862   -19.51   0.000    -.0383556    -.031342
              college |   .0729952   .0040925    17.84   0.000     .0649606    .0810298
                   hs |   .0364031   .0039722     9.16   0.000     .0286047    .0442015
          citizen_dum |   .0320472   .0073236     4.38   0.000      .017669    .0464255
          income_100k |   .0333068   .0024537    13.57   0.000     .0284897     .038124
           income_50k |   .0292269    .002066    14.15   0.000     .0251709     .033283
                white |  -.0254669   .0047509    -5.36   0.000    -.0347941   -.0161396
                black |  -.0653423   .0053149   -12.29   0.000    -.0757768   -.0549077
        race_hispanic |  -.0162361   .0061266    -2.65   0.008    -.0282641    -.004208
                asian |  -.0470716   .0087132    -5.40   0.000    -.0641778   -.0299653
nohealthinsurance_dum |  -.0161061   .0028898    -5.57   0.000    -.0217796   -.0104326
            log_blood |   .0041799   .0016675     2.51   0.012     .0009062    .0074536
L1_firearm_death_rate |   .0005363   .0007983     0.67   0.502     -.001031    .0021035
    incarcerated_rate |   .0371527   .0656342     0.57   0.572    -.0917042    .1660097
                      |
                state |
                   2  |  -.0291379   .0138063    -2.11   0.035    -.0562432   -.0020325
                   4  |  -.0233847   .0063938    -3.66   0.000    -.0359374    -.010832
                   5  |  -.0206725   .0090868    -2.28   0.023    -.0385123   -.0028328
                   6  |  -.0073285   .0070478    -1.04   0.299    -.0211652    .0065082
                   8  |  -.0259396   .0090176    -2.88   0.004    -.0436434   -.0082357
                   9  |  -.0148447   .0062251    -2.38   0.017    -.0270662   -.0026231
                  10  |   .0294204    .005959     4.94   0.000     .0177213    .0411196
                  11  |   -.047613   .0065461    -7.27   0.000    -.0604647   -.0347612
                  12  |   .0118003   .0075045     1.57   0.116     -.002933    .0265337
                  13  |  -.0029619   .0068884    -0.43   0.667    -.0164856    .0105618
                  15  |  -.0363228   .0088692    -4.10   0.000    -.0537354   -.0189103
                  16  |  -.0054747   .0153759    -0.36   0.722    -.0356616    .0247122
                  17  |  -.0039393     .00695    -0.57   0.571    -.0175839    .0097052
                  18  |  -.0062155   .0079769    -0.78   0.436    -.0218762    .0094452
                  19  |   .0021487   .0083398     0.26   0.797    -.0142244    .0185218
                  20  |  -.0042808   .0090005    -0.48   0.634    -.0219511    .0133895
                  21  |  -.0169663   .0080713    -2.10   0.036    -.0328124   -.0011202
                  22  |   .0138749   .0124126     1.12   0.264    -.0104943     .038244
                  23  |  -.0101925   .0107557    -0.95   0.344    -.0313087    .0109237
                  24  |  -.0141637   .0068269    -2.07   0.038    -.0275666   -.0007609
                  25  |   -.011699   .0064043    -1.83   0.068    -.0242723    .0008743
                  26  |  -.0100906   .0066705    -1.51   0.131    -.0231866    .0030053
                  27  |  -.0024967   .0087097    -0.29   0.774     -.019596    .0146027
                  28  |   .0018286   .0088714     0.21   0.837    -.0155882    .0192454
                  29  |  -.0042111   .0095659    -0.44   0.660    -.0229915    .0145693
                  30  |  -.0082254   .0107259    -0.77   0.443    -.0292831    .0128323
                  31  |   .0185272   .0197137     0.94   0.348    -.0201758    .0572303
                  32  |  -.0130754   .0071982    -1.82   0.070    -.0272074    .0010565
                  33  |  -.0043423   .0076732    -0.57   0.572    -.0194067    .0107222
                  34  |  -.0190623   .0108678    -1.75   0.080    -.0403986    .0022741
                  35  |  -.0301683   .0088705    -3.40   0.001    -.0475834   -.0127532
                  36  |   -.002007   .0066941    -0.30   0.764    -.0151492    .0111352
                  37  |  -.0046688   .0084736    -0.55   0.582    -.0213047    .0119672
                  38  |    .013052   .0154953     0.84   0.400    -.0173692    .0434732
                  39  |   -.014918   .0079896    -1.87   0.062    -.0306037    .0007677
                  40  |   -.012932   .0109911    -1.18   0.240    -.0345104    .0086464
                  41  |  -.0108664   .0089308    -1.22   0.224    -.0283997     .006667
                  42  |  -.0147257   .0075867    -1.94   0.053    -.0296204     .000169
                  44  |   .0020452   .0061754     0.33   0.741    -.0100788    .0141691
                  45  |   .0062672   .0092677     0.68   0.499    -.0119276    .0244621
                  46  |    .002794   .0202218     0.14   0.890    -.0369065    .0424946
                  47  |  -.0130235   .0120345    -1.08   0.280    -.0366503    .0106034
                  48  |  -.0104732   .0073587    -1.42   0.155    -.0249203    .0039739
                  49  |   .0227049   .0074886     3.03   0.003     .0080027     .037407
                  50  |   -.001155    .017262    -0.07   0.947    -.0350447    .0327347
                  51  |  -.0039915   .0088808    -0.45   0.653    -.0214268    .0134437
                  53  |  -.0047635   .0070723    -0.67   0.501    -.0186483    .0091212
                  54  |  -.0275262   .0099534    -2.77   0.006    -.0470673   -.0079852
                  55  |  -.0071775   .0102228    -0.70   0.483    -.0272475    .0128926
                  56  |  -.0014363    .015507    -0.09   0.926    -.0318805     .029008
                      |
             year2020 |  -.0270808   .0017439   -15.53   0.000    -.0305046    -.023657
                _cons |   .2067503   .0189231    10.93   0.000     .1695995    .2439012
---------------------------------------------------------------------------------------
(est7 stored)

. eststo: reg donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state year2020 if age >= 40 , cluster(czone)  

Linear regression                               Number of obs     =    208,584
                                                F(67, 721)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0261
                                                Root MSE          =     .31943

                                         (Std. Err. adjusted for 722 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0086633   .0010725    -8.08   0.000    -.0107689   -.0065578
              ideo5_3 |   .0046356    .000777     5.97   0.000     .0031101     .006161
      cz_mean_ideo5_3 |   .0129189    .004233     3.05   0.002     .0046084    .0212295
             fb_share |  -.0309635   .0158121    -1.96   0.051    -.0620068    .0000797
                  age |  -.0030171    .000086   -35.09   0.000    -.0031859   -.0028483
               female |  -.0338295    .001789   -18.91   0.000    -.0373418   -.0303172
              college |    .074692   .0040797    18.31   0.000     .0666824    .0827015
                   hs |   .0365966   .0039717     9.21   0.000     .0287992     .044394
          citizen_dum |   .0309246   .0073091     4.23   0.000      .016575    .0452743
          income_100k |   .0324359   .0024201    13.40   0.000     .0276845    .0371872
           income_50k |   .0287264   .0020595    13.95   0.000      .024683    .0327697
                white |  -.0248613   .0047627    -5.22   0.000    -.0342118   -.0155108
                black |  -.0630096   .0053899   -11.69   0.000    -.0735913   -.0524279
        race_hispanic |  -.0153233   .0061315    -2.50   0.013     -.027361   -.0032856
                asian |  -.0468848   .0086944    -5.39   0.000    -.0639543   -.0298154
nohealthinsurance_dum |  -.0160979    .002888    -5.57   0.000    -.0217678    -.010428
            log_blood |   .0045151   .0016476     2.74   0.006     .0012804    .0077497
L1_firearm_death_rate |   .0005625   .0007984     0.70   0.481    -.0010049    .0021299
    incarcerated_rate |   .0361455   .0657286     0.55   0.583    -.0928968    .1651879
                      |
                state |
                   2  |  -.0280134   .0137995    -2.03   0.043    -.0551055   -.0009213
                   4  |   -.022361   .0063571    -3.52   0.000    -.0348418   -.0098803
                   5  |  -.0200086   .0090331    -2.22   0.027     -.037743   -.0022742
                   6  |  -.0060181   .0069823    -0.86   0.389     -.019726    .0076899
                   8  |  -.0252032   .0089483    -2.82   0.005     -.042771   -.0076354
                   9  |   -.013622   .0061718    -2.21   0.028    -.0257388   -.0015051
                  10  |   .0305648   .0059255     5.16   0.000     .0189314    .0421982
                  11  |   -.045817   .0065207    -7.03   0.000    -.0586188   -.0330153
                  12  |   .0127565   .0074606     1.71   0.088    -.0018906    .0274037
                  13  |  -.0026803   .0068332    -0.39   0.695    -.0160958    .0107351
                  15  |  -.0344732   .0087637    -3.93   0.000    -.0516786   -.0172679
                  16  |  -.0046531   .0153685    -0.30   0.762    -.0348254    .0255192
                  17  |  -.0033659   .0069212    -0.49   0.627    -.0169541    .0102223
                  18  |  -.0056132   .0079272    -0.71   0.479    -.0211762    .0099499
                  19  |   .0030298   .0082958     0.37   0.715    -.0132569    .0193166
                  20  |  -.0034328   .0089448    -0.38   0.701    -.0209937    .0141281
                  21  |  -.0164591   .0080316    -2.05   0.041    -.0322273   -.0006909
                  22  |   .0138652    .012433     1.12   0.265     -.010544    .0382744
                  23  |  -.0091015   .0107413    -0.85   0.397    -.0301894    .0119864
                  24  |  -.0136668   .0068176    -2.00   0.045    -.0270516    -.000282
                  25  |   -.010713   .0063618    -1.68   0.093    -.0232029    .0017769
                  26  |  -.0093523   .0066167    -1.41   0.158    -.0223426     .003638
                  27  |  -.0016013    .008717    -0.18   0.854     -.018715    .0155123
                  28  |   .0017883   .0088128     0.20   0.839    -.0155135    .0190901
                  29  |  -.0037067   .0094767    -0.39   0.696     -.022312    .0148986
                  30  |  -.0072204   .0107002    -0.67   0.500    -.0282277    .0137868
                  31  |   .0191647   .0198463     0.97   0.335    -.0197987    .0581281
                  32  |  -.0116106    .007178    -1.62   0.106    -.0257028    .0024816
                  33  |  -.0031915   .0076444    -0.42   0.676    -.0181994    .0118165
                  34  |  -.0182222   .0107611    -1.69   0.091     -.039349    .0029046
                  35  |  -.0290195   .0088802    -3.27   0.001    -.0464537   -.0115853
                  36  |  -.0010668   .0066449    -0.16   0.872    -.0141124    .0119788
                  37  |   -.004122   .0084437    -0.49   0.626    -.0206991    .0124551
                  38  |   .0140705   .0154982     0.91   0.364    -.0163565    .0444976
                  39  |  -.0142695    .007952    -1.79   0.073    -.0298813    .0013424
                  40  |   -.012417   .0108842    -1.14   0.254    -.0337854    .0089514
                  41  |  -.0093976   .0088603    -1.06   0.289    -.0267926    .0079974
                  42  |  -.0140665   .0075456    -1.86   0.063    -.0288804    .0007475
                  44  |    .003449    .006139     0.56   0.574    -.0086036    .0155015
                  45  |   .0064425   .0092403     0.70   0.486    -.0116986    .0245835
                  46  |   .0036259   .0203539     0.18   0.859    -.0363342    .0435859
                  47  |  -.0124473   .0120651    -1.03   0.303    -.0361343    .0112396
                  48  |  -.0099547   .0072991    -1.36   0.173    -.0242847    .0043752
                  49  |   .0235949   .0074123     3.18   0.002     .0090425    .0381472
                  50  |   .0004178   .0170344     0.02   0.980    -.0330252    .0338608
                  51  |  -.0036219    .008851    -0.41   0.683    -.0209986    .0137549
                  53  |  -.0036199   .0069895    -0.52   0.605     -.017342    .0101023
                  54  |  -.0266253   .0099676    -2.67   0.008    -.0461942   -.0070564
                  55  |  -.0063814   .0101065    -0.63   0.528     -.026223    .0134602
                  56  |  -.0004911   .0154609    -0.03   0.975    -.0308449    .0298628
                      |
             year2020 |  -.0271689   .0017404   -15.61   0.000    -.0305857   -.0237522
                _cons |   .2053737   .0188454    10.90   0.000     .1683753    .2423721
---------------------------------------------------------------------------------------
(est8 stored)

.         
. esttab using "TableA14.tex", label keep(dist_st_ideo5_3 st_mean_ideo5_3 dist_cz_ideo5_3 cz_mean_ide
> o5_3 ideo5_3 fb_share age female college hs citizen_dum income_100k income_50k nohealthinsurance_du
> m log_blood L1_firearm_death_rate incarcerated_rate year2020) order(dist_st_ideo5_3 st_mean_ideo5_3
>  dist_cz_ideo5_3 cz_mean_ideo5_3 ideo5_3 fb_share age female college hs citizen_dum income_100k inc
> ome_50k nohealthinsurance_dum log_blood L1_firearm_death_rate incarcerated_rate year2020) nonotes s
> e(3) b(3) replace star(+ 0.10 * 0.05 ** 0.01) compress nogaps nodepvars indicate("State FE = *state
> *") 
(output written to TableA14.tex)

. 
. * Table A15: Social Diversity and Blood Donation: Emergency Room Visit
. 
. eststo clear

. 
. eststo: reg donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year emergency_room, cluster(state)  

Linear regression                               Number of obs     =    146,310
                                                F(20, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0254
                                                Root MSE          =      .3249

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0070764   .0011376    -6.22   0.000    -.0093613   -.0047916
      st_mean_ideo5_3 |   .0301906   .0233409     1.29   0.202     -.016691    .0770722
             fb_share |  -.0532572   .0142144    -3.75   0.000    -.0818076   -.0247067
                  age |  -.0021526   .0001046   -20.59   0.000    -.0023626   -.0019426
               female |  -.0315957   .0018297   -17.27   0.000    -.0352707   -.0279207
              college |   .0691331   .0047891    14.44   0.000     .0595138    .0787523
                   hs |   .0404965   .0043649     9.28   0.000     .0317294    .0492637
          citizen_dum |   .0343734   .0095321     3.61   0.001     .0152276    .0535192
          income_100k |   .0296279   .0028147    10.53   0.000     .0239744    .0352814
           income_50k |   .0270255    .002692    10.04   0.000     .0216185    .0324326
                white |   -.021434   .0058856    -3.64   0.001    -.0332556   -.0096125
                black |  -.0494454   .0067965    -7.28   0.000    -.0630966   -.0357942
        race_hispanic |   .0002402   .0064949     0.04   0.971    -.0128053    .0132857
                asian |  -.0229777   .0068619    -3.35   0.002    -.0367602   -.0091952
nohealthinsurance_dum |  -.0236072   .0035535    -6.64   0.000    -.0307446   -.0164698
            log_blood |   .0007463   .0020137     0.37   0.712    -.0032983    .0047909
L1_firearm_death_rate |  -.0004165    .001006    -0.41   0.681    -.0024371    .0016041
    incarcerated_rate |   .0939113   .0694329     1.35   0.182    -.0455488    .2333714
                      |
                state |
                   2  |  -.0469243   .0020531   -22.86   0.000    -.0510481   -.0428005
                   4  |  -.0117466   .0029064    -4.04   0.000    -.0175842    -.005909
                   5  |  -.0264053   .0020261   -13.03   0.000    -.0304749   -.0223357
                   6  |  -.0039384   .0095573    -0.41   0.682    -.0231347    .0152579
                   8  |  -.0302313   .0056781    -5.32   0.000    -.0416361   -.0188265
                   9  |  -.0129504   .0079968    -1.62   0.112    -.0290125    .0031117
                  10  |   .0304249   .0049922     6.09   0.000     .0203977    .0404522
                  11  |  -.0321874    .019604    -1.64   0.107    -.0715633    .0071884
                  12  |    .022128   .0037159     5.96   0.000     .0146645    .0295916
                  13  |  -.0046419    .002493    -1.86   0.068    -.0096492    .0003654
                  15  |  -.0164763   .0088412    -1.86   0.068    -.0342344    .0012818
                  16  |  -.0015763    .003027    -0.52   0.605    -.0076563    .0045037
                  17  |   .0026204   .0078201     0.34   0.739    -.0130867    .0183275
                  18  |  -.0021478   .0026997    -0.80   0.430    -.0075703    .0032748
                  19  |  -.0160991   .0052343    -3.08   0.003    -.0266125   -.0055857
                  20  |  -.0043559   .0030577    -1.42   0.160    -.0104974    .0017855
                  21  |  -.0104096   .0023417    -4.45   0.000     -.015113   -.0057063
                  22  |  -.0011497   .0021164    -0.54   0.589    -.0054005    .0031012
                  23  |  -.0192051   .0062089    -3.09   0.003    -.0316761   -.0067342
                  24  |    -.01507   .0075294    -2.00   0.051    -.0301933    .0000533
                  25  |  -.0176978   .0115655    -1.53   0.132    -.0409277    .0055322
                  26  |  -.0248056   .0060169    -4.12   0.000     -.036891   -.0127203
                  27  |  -.0041059   .0077379    -0.53   0.598    -.0196478    .0114361
                  28  |  -.0003072   .0017614    -0.17   0.862     -.003845    .0032305
                  29  |  -.0108861   .0027191    -4.00   0.000    -.0163476   -.0054245
                  30  |  -.0145182   .0030573    -4.75   0.000     -.020659   -.0083774
                  31  |   .0147964   .0042986     3.44   0.001     .0061623    .0234304
                  32  |   .0018004   .0058305     0.31   0.759    -.0099106    .0135113
                  33  |  -.0054013   .0076508    -0.71   0.483    -.0207684    .0099658
                  34  |  -.0164506   .0073926    -2.23   0.031     -.031299   -.0016022
                  35  |  -.0217723   .0065118    -3.34   0.002    -.0348516    -.008693
                  36  |   .0055443   .0096672     0.57   0.569    -.0138728    .0249613
                  37  |  -.0066174   .0031612    -2.09   0.041    -.0129669   -.0002679
                  38  |   .0269195   .0023506    11.45   0.000     .0221981    .0316408
                  39  |  -.0191252   .0044724    -4.28   0.000    -.0281084   -.0101421
                  40  |  -.0210688   .0009041   -23.30   0.000    -.0228848   -.0192528
                  41  |  -.0069294   .0109237    -0.63   0.529    -.0288704    .0150115
                  42  |  -.0221595    .003832    -5.78   0.000    -.0298562   -.0144628
                  44  |  -.0120928   .0110577    -1.09   0.279    -.0343029    .0101173
                  45  |   .0177417   .0018715     9.48   0.000     .0139826    .0215008
                  46  |   .0406881   .0047215     8.62   0.000     .0312046    .0501715
                  47  |  -.0098125   .0018982    -5.17   0.000    -.0136251   -.0059999
                  48  |  -.0021199   .0028268    -0.75   0.457    -.0077977    .0035579
                  49  |   .0154719   .0022443     6.89   0.000     .0109641    .0199798
                  50  |   .0153032   .0134029     1.14   0.259    -.0116172    .0422237
                  51  |  -.0132645    .005635    -2.35   0.023    -.0245827   -.0019463
                  53  |  -.0030566   .0091364    -0.33   0.739    -.0214075    .0152943
                  54  |  -.0404118   .0026075   -15.50   0.000    -.0456491   -.0351745
                  55  |   -.009072   .0050528    -1.80   0.079    -.0192208    .0010768
                  56  |  -.0112364   .0033939    -3.31   0.002    -.0180533   -.0044194
                      |
                 year |
                2018  |   .0023986   .0022532     1.06   0.292    -.0021271    .0069244
                2020  |  -.0256872   .0020506   -12.53   0.000    -.0298061   -.0215684
                      |
       emergency_room |   .0183713   .0022088     8.32   0.000     .0139348    .0228078
                _cons |   .1030341   .0771313     1.34   0.188    -.0518886    .2579568
---------------------------------------------------------------------------------------
(est1 stored)

. eststo: reg donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state i.year emergency_room, cluster(state)  

Linear regression                               Number of obs     =    146,310
                                                F(21, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0254
                                                Root MSE          =     .32489

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0070477   .0011298    -6.24   0.000     -.009317   -.0047785
              ideo5_3 |   .0019667   .0008875     2.22   0.031     .0001841    .0037494
      st_mean_ideo5_3 |   .0285124    .023043     1.24   0.222    -.0177708    .0747956
             fb_share |  -.0529802   .0142422    -3.72   0.001    -.0815866   -.0243738
                  age |  -.0021757   .0001055   -20.62   0.000    -.0023876   -.0019638
               female |  -.0312872    .001844   -16.97   0.000     -.034991   -.0275833
              college |   .0699457   .0048217    14.51   0.000      .060261    .0796303
                   hs |   .0406993   .0043746     9.30   0.000     .0319127    .0494859
          citizen_dum |   .0342666   .0095191     3.60   0.001     .0151469    .0533862
          income_100k |   .0293311   .0028326    10.35   0.000     .0236416    .0350207
           income_50k |   .0268446   .0026958     9.96   0.000       .02143    .0322592
                white |  -.0214682   .0059013    -3.64   0.001    -.0333213   -.0096151
                black |  -.0488661   .0067996    -7.19   0.000    -.0625235   -.0352087
        race_hispanic |   .0003106   .0064755     0.05   0.962    -.0126958    .0133169
                asian |  -.0230622   .0068453    -3.37   0.001    -.0368115    -.009313
nohealthinsurance_dum |  -.0236847   .0035479    -6.68   0.000    -.0308108   -.0165586
            log_blood |   .0010052   .0020251     0.50   0.622    -.0030623    .0050727
L1_firearm_death_rate |  -.0003943   .0010016    -0.39   0.696    -.0024061    .0016176
    incarcerated_rate |   .0920392   .0691884     1.33   0.189    -.0469299    .2310083
                      |
                state |
                   2  |  -.0466082   .0020465   -22.77   0.000    -.0507187   -.0424977
                   4  |  -.0114607   .0029276    -3.91   0.000    -.0173409   -.0055805
                   5  |  -.0261541   .0020068   -13.03   0.000    -.0301848   -.0221233
                   6  |  -.0038623   .0095812    -0.40   0.689    -.0231066     .015382
                   8  |    -.03008   .0057058    -5.27   0.000    -.0415405   -.0186195
                   9  |  -.0126143   .0080485    -1.57   0.123    -.0287802    .0035515
                  10  |   .0306696    .005032     6.09   0.000     .0205627    .0407766
                  11  |  -.0326379   .0195478    -1.67   0.101    -.0719008    .0066251
                  12  |   .0222012   .0037347     5.94   0.000     .0146998    .0297026
                  13  |  -.0046239   .0024956    -1.85   0.070    -.0096365    .0003887
                  15  |  -.0160824   .0089021    -1.81   0.077    -.0339628     .001798
                  16  |  -.0012273   .0029693    -0.41   0.681    -.0071913    .0047367
                  17  |   .0025451   .0078242     0.33   0.746    -.0131703    .0182604
                  18  |  -.0019164   .0027263    -0.70   0.485    -.0073923    .0035594
                  19  |  -.0157717   .0052787    -2.99   0.004    -.0263743   -.0051691
                  20  |   -.004018   .0030924    -1.30   0.200    -.0102292    .0021932
                  21  |  -.0101648   .0023515    -4.32   0.000    -.0148879   -.0054416
                  22  |  -.0011439    .002106    -0.54   0.589    -.0053738    .0030861
                  23  |  -.0186818   .0062866    -2.97   0.005    -.0313088   -.0060548
                  24  |  -.0150785   .0075359    -2.00   0.051    -.0302147    .0000577
                  25  |  -.0175514   .0115962    -1.51   0.136    -.0408431    .0057403
                  26  |  -.0245322   .0060581    -4.05   0.000    -.0367002   -.0123642
                  27  |  -.0039651   .0077655    -0.51   0.612    -.0195627    .0116324
                  28  |  -.0002437   .0017552    -0.14   0.890    -.0037692    .0032818
                  29  |  -.0107119   .0027376    -3.91   0.000    -.0162106   -.0052132
                  30  |  -.0140611   .0031057    -4.53   0.000    -.0202991   -.0078231
                  31  |   .0149849   .0043228     3.47   0.001     .0063022    .0236675
                  32  |   .0020753   .0058697     0.35   0.725    -.0097144    .0138651
                  33  |   -.004891   .0077265    -0.63   0.530    -.0204102    .0106282
                  34  |  -.0164779   .0074019    -2.23   0.031    -.0313451   -.0016108
                  35  |  -.0214092   .0065722    -3.26   0.002    -.0346098   -.0082086
                  36  |    .005529    .009678     0.57   0.570    -.0139099    .0249679
                  37  |  -.0064729   .0031788    -2.04   0.047    -.0128578   -.0000881
                  38  |   .0272849   .0023505    11.61   0.000     .0225637     .032006
                  39  |  -.0188814   .0045066    -4.19   0.000    -.0279332   -.0098296
                  40  |  -.0209645   .0008946   -23.43   0.000    -.0227614   -.0191676
                  41  |  -.0065257   .0109912    -0.59   0.555    -.0286021    .0155506
                  42  |  -.0219868   .0038552    -5.70   0.000    -.0297302   -.0142434
                  44  |  -.0118943   .0110965    -1.07   0.289    -.0341822    .0103937
                  45  |   .0178903   .0018482     9.68   0.000      .014178    .0216026
                  46  |   .0409672   .0046713     8.77   0.000     .0315846    .0503498
                  47  |  -.0096357   .0018764    -5.14   0.000    -.0134046   -.0058668
                  48  |  -.0021595   .0028341    -0.76   0.450    -.0078518    .0035329
                  49  |   .0156726   .0022414     6.99   0.000     .0111706    .0201745
                  50  |   .0158428   .0134907     1.17   0.246     -.011254    .0429395
                  51  |  -.0131981   .0056453    -2.34   0.023    -.0245371   -.0018592
                  53  |  -.0028168   .0091794    -0.31   0.760    -.0212542    .0156207
                  54  |  -.0399648   .0025654   -15.58   0.000    -.0451176   -.0348121
                  55  |  -.0088198   .0050913    -1.73   0.089    -.0190459    .0014063
                  56  |  -.0108127   .0033405    -3.24   0.002    -.0175222   -.0041032
                      |
                 year |
                2018  |   .0024053   .0022505     1.07   0.290     -.002115    .0069255
                2020  |  -.0256465    .002051   -12.50   0.000    -.0297661    -.021527
                      |
       emergency_room |   .0184269   .0022084     8.34   0.000     .0139912    .0228626
                _cons |   .1024124   .0772133     1.33   0.191    -.0526751       .2575
---------------------------------------------------------------------------------------
(est2 stored)

. 
. eststo: reg donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year i.year emergency_room, cluster(state)  

Linear regression                               Number of obs     =    146,310
                                                F(20, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0254
                                                Root MSE          =      .3249

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0070764   .0011376    -6.22   0.000    -.0093613   -.0047916
      st_mean_ideo5_3 |   .0301906   .0233409     1.29   0.202     -.016691    .0770722
             fb_share |  -.0532572   .0142144    -3.75   0.000    -.0818076   -.0247067
                  age |  -.0021526   .0001046   -20.59   0.000    -.0023626   -.0019426
               female |  -.0315957   .0018297   -17.27   0.000    -.0352707   -.0279207
              college |   .0691331   .0047891    14.44   0.000     .0595138    .0787523
                   hs |   .0404965   .0043649     9.28   0.000     .0317294    .0492637
          citizen_dum |   .0343734   .0095321     3.61   0.001     .0152276    .0535192
          income_100k |   .0296279   .0028147    10.53   0.000     .0239744    .0352814
           income_50k |   .0270255    .002692    10.04   0.000     .0216185    .0324326
                white |   -.021434   .0058856    -3.64   0.001    -.0332556   -.0096125
                black |  -.0494454   .0067965    -7.28   0.000    -.0630966   -.0357942
        race_hispanic |   .0002402   .0064949     0.04   0.971    -.0128053    .0132857
                asian |  -.0229777   .0068619    -3.35   0.002    -.0367602   -.0091952
nohealthinsurance_dum |  -.0236072   .0035535    -6.64   0.000    -.0307446   -.0164698
            log_blood |   .0007463   .0020137     0.37   0.712    -.0032983    .0047909
L1_firearm_death_rate |  -.0004165    .001006    -0.41   0.681    -.0024371    .0016041
    incarcerated_rate |   .0939113   .0694329     1.35   0.182    -.0455488    .2333714
                      |
                state |
                   2  |  -.0469243   .0020531   -22.86   0.000    -.0510481   -.0428005
                   4  |  -.0117466   .0029064    -4.04   0.000    -.0175842    -.005909
                   5  |  -.0264053   .0020261   -13.03   0.000    -.0304749   -.0223357
                   6  |  -.0039384   .0095573    -0.41   0.682    -.0231347    .0152579
                   8  |  -.0302313   .0056781    -5.32   0.000    -.0416361   -.0188265
                   9  |  -.0129504   .0079968    -1.62   0.112    -.0290125    .0031117
                  10  |   .0304249   .0049922     6.09   0.000     .0203977    .0404522
                  11  |  -.0321874    .019604    -1.64   0.107    -.0715633    .0071884
                  12  |    .022128   .0037159     5.96   0.000     .0146645    .0295916
                  13  |  -.0046419    .002493    -1.86   0.068    -.0096492    .0003654
                  15  |  -.0164763   .0088412    -1.86   0.068    -.0342344    .0012818
                  16  |  -.0015763    .003027    -0.52   0.605    -.0076563    .0045037
                  17  |   .0026204   .0078201     0.34   0.739    -.0130867    .0183275
                  18  |  -.0021478   .0026997    -0.80   0.430    -.0075703    .0032748
                  19  |  -.0160991   .0052343    -3.08   0.003    -.0266125   -.0055857
                  20  |  -.0043559   .0030577    -1.42   0.160    -.0104974    .0017855
                  21  |  -.0104096   .0023417    -4.45   0.000     -.015113   -.0057063
                  22  |  -.0011497   .0021164    -0.54   0.589    -.0054005    .0031012
                  23  |  -.0192051   .0062089    -3.09   0.003    -.0316761   -.0067342
                  24  |    -.01507   .0075294    -2.00   0.051    -.0301933    .0000533
                  25  |  -.0176978   .0115655    -1.53   0.132    -.0409277    .0055322
                  26  |  -.0248056   .0060169    -4.12   0.000     -.036891   -.0127203
                  27  |  -.0041059   .0077379    -0.53   0.598    -.0196478    .0114361
                  28  |  -.0003072   .0017614    -0.17   0.862     -.003845    .0032305
                  29  |  -.0108861   .0027191    -4.00   0.000    -.0163476   -.0054245
                  30  |  -.0145182   .0030573    -4.75   0.000     -.020659   -.0083774
                  31  |   .0147964   .0042986     3.44   0.001     .0061623    .0234304
                  32  |   .0018004   .0058305     0.31   0.759    -.0099106    .0135113
                  33  |  -.0054013   .0076508    -0.71   0.483    -.0207684    .0099658
                  34  |  -.0164506   .0073926    -2.23   0.031     -.031299   -.0016022
                  35  |  -.0217723   .0065118    -3.34   0.002    -.0348516    -.008693
                  36  |   .0055443   .0096672     0.57   0.569    -.0138728    .0249613
                  37  |  -.0066174   .0031612    -2.09   0.041    -.0129669   -.0002679
                  38  |   .0269195   .0023506    11.45   0.000     .0221981    .0316408
                  39  |  -.0191252   .0044724    -4.28   0.000    -.0281084   -.0101421
                  40  |  -.0210688   .0009041   -23.30   0.000    -.0228848   -.0192528
                  41  |  -.0069294   .0109237    -0.63   0.529    -.0288704    .0150115
                  42  |  -.0221595    .003832    -5.78   0.000    -.0298562   -.0144628
                  44  |  -.0120928   .0110577    -1.09   0.279    -.0343029    .0101173
                  45  |   .0177417   .0018715     9.48   0.000     .0139826    .0215008
                  46  |   .0406881   .0047215     8.62   0.000     .0312046    .0501715
                  47  |  -.0098125   .0018982    -5.17   0.000    -.0136251   -.0059999
                  48  |  -.0021199   .0028268    -0.75   0.457    -.0077977    .0035579
                  49  |   .0154719   .0022443     6.89   0.000     .0109641    .0199798
                  50  |   .0153032   .0134029     1.14   0.259    -.0116172    .0422237
                  51  |  -.0132645    .005635    -2.35   0.023    -.0245827   -.0019463
                  53  |  -.0030566   .0091364    -0.33   0.739    -.0214075    .0152943
                  54  |  -.0404118   .0026075   -15.50   0.000    -.0456491   -.0351745
                  55  |   -.009072   .0050528    -1.80   0.079    -.0192208    .0010768
                  56  |  -.0112364   .0033939    -3.31   0.002    -.0180533   -.0044194
                      |
                 year |
                2018  |   .0023986   .0022532     1.06   0.292    -.0021271    .0069244
                2020  |  -.0256872   .0020506   -12.53   0.000    -.0298061   -.0215684
                      |
       emergency_room |   .0183713   .0022088     8.32   0.000     .0139348    .0228078
                _cons |   .1030341   .0771313     1.34   0.188    -.0518886    .2579568
---------------------------------------------------------------------------------------
(est3 stored)

. eststo: reg donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state  i.year emergency_room, cluster(state)  

Linear regression                               Number of obs     =    146,310
                                                F(21, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0254
                                                Root MSE          =     .32489

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0070477   .0011298    -6.24   0.000     -.009317   -.0047785
              ideo5_3 |   .0019667   .0008875     2.22   0.031     .0001841    .0037494
      st_mean_ideo5_3 |   .0285124    .023043     1.24   0.222    -.0177708    .0747956
             fb_share |  -.0529802   .0142422    -3.72   0.001    -.0815866   -.0243738
                  age |  -.0021757   .0001055   -20.62   0.000    -.0023876   -.0019638
               female |  -.0312872    .001844   -16.97   0.000     -.034991   -.0275833
              college |   .0699457   .0048217    14.51   0.000      .060261    .0796303
                   hs |   .0406993   .0043746     9.30   0.000     .0319127    .0494859
          citizen_dum |   .0342666   .0095191     3.60   0.001     .0151469    .0533862
          income_100k |   .0293311   .0028326    10.35   0.000     .0236416    .0350207
           income_50k |   .0268446   .0026958     9.96   0.000       .02143    .0322592
                white |  -.0214682   .0059013    -3.64   0.001    -.0333213   -.0096151
                black |  -.0488661   .0067996    -7.19   0.000    -.0625235   -.0352087
        race_hispanic |   .0003106   .0064755     0.05   0.962    -.0126958    .0133169
                asian |  -.0230622   .0068453    -3.37   0.001    -.0368115    -.009313
nohealthinsurance_dum |  -.0236847   .0035479    -6.68   0.000    -.0308108   -.0165586
            log_blood |   .0010052   .0020251     0.50   0.622    -.0030623    .0050727
L1_firearm_death_rate |  -.0003943   .0010016    -0.39   0.696    -.0024061    .0016176
    incarcerated_rate |   .0920392   .0691884     1.33   0.189    -.0469299    .2310083
                      |
                state |
                   2  |  -.0466082   .0020465   -22.77   0.000    -.0507187   -.0424977
                   4  |  -.0114607   .0029276    -3.91   0.000    -.0173409   -.0055805
                   5  |  -.0261541   .0020068   -13.03   0.000    -.0301848   -.0221233
                   6  |  -.0038623   .0095812    -0.40   0.689    -.0231066     .015382
                   8  |    -.03008   .0057058    -5.27   0.000    -.0415405   -.0186195
                   9  |  -.0126143   .0080485    -1.57   0.123    -.0287802    .0035515
                  10  |   .0306696    .005032     6.09   0.000     .0205627    .0407766
                  11  |  -.0326379   .0195478    -1.67   0.101    -.0719008    .0066251
                  12  |   .0222012   .0037347     5.94   0.000     .0146998    .0297026
                  13  |  -.0046239   .0024956    -1.85   0.070    -.0096365    .0003887
                  15  |  -.0160824   .0089021    -1.81   0.077    -.0339628     .001798
                  16  |  -.0012273   .0029693    -0.41   0.681    -.0071913    .0047367
                  17  |   .0025451   .0078242     0.33   0.746    -.0131703    .0182604
                  18  |  -.0019164   .0027263    -0.70   0.485    -.0073923    .0035594
                  19  |  -.0157717   .0052787    -2.99   0.004    -.0263743   -.0051691
                  20  |   -.004018   .0030924    -1.30   0.200    -.0102292    .0021932
                  21  |  -.0101648   .0023515    -4.32   0.000    -.0148879   -.0054416
                  22  |  -.0011439    .002106    -0.54   0.589    -.0053738    .0030861
                  23  |  -.0186818   .0062866    -2.97   0.005    -.0313088   -.0060548
                  24  |  -.0150785   .0075359    -2.00   0.051    -.0302147    .0000577
                  25  |  -.0175514   .0115962    -1.51   0.136    -.0408431    .0057403
                  26  |  -.0245322   .0060581    -4.05   0.000    -.0367002   -.0123642
                  27  |  -.0039651   .0077655    -0.51   0.612    -.0195627    .0116324
                  28  |  -.0002437   .0017552    -0.14   0.890    -.0037692    .0032818
                  29  |  -.0107119   .0027376    -3.91   0.000    -.0162106   -.0052132
                  30  |  -.0140611   .0031057    -4.53   0.000    -.0202991   -.0078231
                  31  |   .0149849   .0043228     3.47   0.001     .0063022    .0236675
                  32  |   .0020753   .0058697     0.35   0.725    -.0097144    .0138651
                  33  |   -.004891   .0077265    -0.63   0.530    -.0204102    .0106282
                  34  |  -.0164779   .0074019    -2.23   0.031    -.0313451   -.0016108
                  35  |  -.0214092   .0065722    -3.26   0.002    -.0346098   -.0082086
                  36  |    .005529    .009678     0.57   0.570    -.0139099    .0249679
                  37  |  -.0064729   .0031788    -2.04   0.047    -.0128578   -.0000881
                  38  |   .0272849   .0023505    11.61   0.000     .0225637     .032006
                  39  |  -.0188814   .0045066    -4.19   0.000    -.0279332   -.0098296
                  40  |  -.0209645   .0008946   -23.43   0.000    -.0227614   -.0191676
                  41  |  -.0065257   .0109912    -0.59   0.555    -.0286021    .0155506
                  42  |  -.0219868   .0038552    -5.70   0.000    -.0297302   -.0142434
                  44  |  -.0118943   .0110965    -1.07   0.289    -.0341822    .0103937
                  45  |   .0178903   .0018482     9.68   0.000      .014178    .0216026
                  46  |   .0409672   .0046713     8.77   0.000     .0315846    .0503498
                  47  |  -.0096357   .0018764    -5.14   0.000    -.0134046   -.0058668
                  48  |  -.0021595   .0028341    -0.76   0.450    -.0078518    .0035329
                  49  |   .0156726   .0022414     6.99   0.000     .0111706    .0201745
                  50  |   .0158428   .0134907     1.17   0.246     -.011254    .0429395
                  51  |  -.0131981   .0056453    -2.34   0.023    -.0245371   -.0018592
                  53  |  -.0028168   .0091794    -0.31   0.760    -.0212542    .0156207
                  54  |  -.0399648   .0025654   -15.58   0.000    -.0451176   -.0348121
                  55  |  -.0088198   .0050913    -1.73   0.089    -.0190459    .0014063
                  56  |  -.0108127   .0033405    -3.24   0.002    -.0175222   -.0041032
                      |
                 year |
                2018  |   .0024053   .0022505     1.07   0.290     -.002115    .0069255
                2020  |  -.0256465    .002051   -12.50   0.000    -.0297661    -.021527
                      |
       emergency_room |   .0184269   .0022084     8.34   0.000     .0139912    .0228626
                _cons |   .1024124   .0772133     1.33   0.191    -.0526751       .2575
---------------------------------------------------------------------------------------
(est4 stored)

. 
. eststo: reg donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year emergency_room, cluster(czone)  

Linear regression                               Number of obs     =    146,310
                                                F(68, 717)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0254
                                                Root MSE          =     .32489

                                         (Std. Err. adjusted for 718 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0073725   .0012368    -5.96   0.000    -.0098006   -.0049444
      cz_mean_ideo5_3 |   .0122448   .0058967     2.08   0.038     .0006679    .0238217
             fb_share |  -.0389958   .0178034    -2.19   0.029    -.0739488   -.0040428
                  age |  -.0021536   .0000656   -32.85   0.000    -.0022824   -.0020249
               female |  -.0316172   .0018787   -16.83   0.000    -.0353057   -.0279287
              college |   .0694108   .0051282    13.54   0.000     .0593427    .0794789
                   hs |   .0406201   .0046648     8.71   0.000     .0314617    .0497785
          citizen_dum |   .0343136   .0084962     4.04   0.000     .0176332     .050994
          income_100k |   .0297734   .0026282    11.33   0.000     .0246134    .0349333
           income_50k |   .0270839    .002121    12.77   0.000     .0229197    .0312481
                white |  -.0214509   .0053922    -3.98   0.000    -.0320372   -.0108645
                black |  -.0492432   .0058356    -8.44   0.000    -.0607002   -.0377863
        race_hispanic |   .0001235    .006109     0.02   0.984    -.0118701    .0121171
                asian |  -.0229782   .0073059    -3.15   0.002    -.0373218   -.0086346
nohealthinsurance_dum |  -.0235873   .0032648    -7.22   0.000     -.029997   -.0171776
            log_blood |   .0013322   .0019208     0.69   0.488    -.0024388    .0051033
L1_firearm_death_rate |  -.0003988   .0009849    -0.40   0.686    -.0023326    .0015349
    incarcerated_rate |   .0849134   .0709884     1.20   0.232    -.0544566    .2242833
                      |
                state |
                   2  |  -.0474355   .0121494    -3.90   0.000    -.0712883   -.0235828
                   4  |  -.0142604   .0076751    -1.86   0.064    -.0293287     .000808
                   5  |   -.026414   .0125745    -2.10   0.036    -.0511012   -.0017269
                   6  |  -.0144705   .0086368    -1.68   0.094    -.0314269    .0024859
                   8  |  -.0352954   .0127732    -2.76   0.006    -.0603728   -.0102181
                   9  |  -.0203356   .0074843    -2.72   0.007    -.0350293   -.0056419
                  10  |   .0250194   .0165057     1.52   0.130     -.007386    .0574247
                  11  |  -.0544408   .0078673    -6.92   0.000    -.0698866   -.0389951
                  12  |    .017363   .0078929     2.20   0.028      .001867    .0328589
                  13  |  -.0071697   .0081875    -0.88   0.381     -.023244    .0089045
                  15  |  -.0249727    .011333    -2.20   0.028    -.0472225   -.0027229
                  16  |   .0004659   .0114789     0.04   0.968    -.0220703    .0230022
                  17  |  -.0051221   .0089592    -0.57   0.568    -.0227115    .0124673
                  18  |   -.003805   .0107699    -0.35   0.724    -.0249494    .0173393
                  19  |  -.0199255   .0128912    -1.55   0.123    -.0452346    .0053835
                  20  |  -.0062943   .0120426    -0.52   0.601    -.0299373    .0173487
                  21  |  -.0111735   .0103495    -1.08   0.281    -.0314923    .0091454
                  22  |  -.0004276   .0119427    -0.04   0.971    -.0238744    .0230192
                  23  |  -.0229696   .0145323    -1.58   0.114    -.0515006    .0055613
                  24  |  -.0222808   .0088925    -2.51   0.012    -.0397393   -.0048223
                  25  |  -.0285167   .0077986    -3.66   0.000    -.0438276   -.0132059
                  26  |  -.0293745    .008177    -3.59   0.000    -.0454281   -.0133208
                  27  |  -.0109642    .009653    -1.14   0.256    -.0299157    .0079874
                  28  |    .001015    .010526     0.10   0.923    -.0196505    .0216805
                  29  |  -.0125652   .0082409    -1.52   0.128    -.0287444    .0036139
                  30  |  -.0156436   .0117555    -1.33   0.184    -.0387229    .0074356
                  31  |   .0110819   .0203365     0.54   0.586    -.0288442    .0510081
                  32  |  -.0048983   .0103128    -0.47   0.635    -.0251452    .0153485
                  33  |  -.0108676   .0088375    -1.23   0.219     -.028218    .0064828
                  34  |  -.0245958   .0110165    -2.23   0.026    -.0462242   -.0029674
                  35  |  -.0267729   .0101352    -2.64   0.008    -.0466711   -.0068746
                  36  |  -.0046375   .0081476    -0.57   0.569    -.0206336    .0113587
                  37  |  -.0091774   .0096132    -0.95   0.340    -.0280507    .0096959
                  38  |   .0268494   .0103318     2.60   0.010     .0065653    .0471335
                  39  |  -.0223623    .011131    -2.01   0.045    -.0442155    -.000509
                  40  |  -.0213418   .0089441    -2.39   0.017    -.0389015    -.003782
                  41  |  -.0167306   .0106054    -1.58   0.115    -.0375519    .0040907
                  42  |  -.0252024   .0087944    -2.87   0.004    -.0424683   -.0079366
                  44  |  -.0235464   .0074101    -3.18   0.002    -.0380946   -.0089983
                  45  |   .0186014   .0152924     1.22   0.224     -.011422    .0486247
                  46  |   .0438018   .0299468     1.46   0.144    -.0149921    .1025956
                  47  |   -.009566   .0107217    -0.89   0.373    -.0306156    .0114837
                  48  |  -.0056098   .0089866    -0.62   0.533    -.0232529    .0120334
                  49  |   .0143907   .0162968     0.88   0.378    -.0176044    .0463858
                  50  |   .0045058   .0129951     0.35   0.729    -.0210071    .0300187
                  51  |  -.0183343   .0092962    -1.97   0.049    -.0365853   -.0000834
                  53  |  -.0112639   .0089758    -1.25   0.210    -.0288859    .0063582
                  54  |  -.0388225   .0106418    -3.65   0.000    -.0597153   -.0179296
                  55  |   -.012835   .0108649    -1.18   0.238    -.0341658    .0084959
                  56  |    -.00895   .0192723    -0.46   0.643    -.0467868    .0288868
                      |
                 year |
                2018  |   .0024202    .002021     1.20   0.231    -.0015475    .0063879
                2020  |  -.0268593   .0018744   -14.33   0.000    -.0305393   -.0231793
                      |
       emergency_room |   .0183765   .0021099     8.71   0.000     .0142342    .0225188
                _cons |   .1595575   .0241346     6.61   0.000     .1121747    .2069404
---------------------------------------------------------------------------------------
(est5 stored)

. eststo: reg donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state i.year emergency_room, cluster(czone)  

Linear regression                               Number of obs     =    146,310
                                                F(69, 717)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0255
                                                Root MSE          =     .32489

                                         (Std. Err. adjusted for 718 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0073489    .001236    -5.95   0.000    -.0097754   -.0049223
              ideo5_3 |    .001754   .0010356     1.69   0.091    -.0002792    .0037872
      cz_mean_ideo5_3 |   .0107391   .0058601     1.83   0.067    -.0007658    .0222441
             fb_share |  -.0403617   .0175371    -2.30   0.022    -.0747919   -.0059314
                  age |  -.0021741    .000067   -32.44   0.000    -.0023056   -.0020425
               female |  -.0313426   .0019018   -16.48   0.000    -.0350763   -.0276089
              college |   .0700963   .0050943    13.76   0.000     .0600947    .0800978
                   hs |   .0407841   .0046597     8.75   0.000     .0316358    .0499325
          citizen_dum |    .034226   .0084999     4.03   0.000     .0175383    .0509137
          income_100k |   .0294905   .0026043    11.32   0.000     .0243775    .0346034
           income_50k |   .0269131   .0021136    12.73   0.000     .0227634    .0310627
                white |  -.0214798   .0053906    -3.98   0.000    -.0320631   -.0108966
                black |  -.0487577   .0058415    -8.35   0.000    -.0602261   -.0372893
        race_hispanic |   .0001958   .0061013     0.03   0.974    -.0117828    .0121743
                asian |  -.0230544    .007306    -3.16   0.002    -.0373981   -.0087106
nohealthinsurance_dum |  -.0236496   .0032676    -7.24   0.000    -.0300649   -.0172344
            log_blood |   .0014924   .0018999     0.79   0.432    -.0022377    .0052225
L1_firearm_death_rate |  -.0003817   .0009842    -0.39   0.698    -.0023138    .0015505
    incarcerated_rate |   .0843153   .0710153     1.19   0.236    -.0551074     .223738
                      |
                state |
                   2  |  -.0471489    .012152    -3.88   0.000    -.0710067   -.0232911
                   4  |  -.0138782   .0076695    -1.81   0.071    -.0289356    .0011793
                   5  |  -.0261674   .0125807    -2.08   0.038    -.0508669   -.0014679
                   6  |  -.0139898    .008687    -1.61   0.108    -.0310448    .0030653
                   8  |  -.0350303   .0127578    -2.75   0.006    -.0600773   -.0099832
                   9  |  -.0198605   .0074837    -2.65   0.008    -.0345531   -.0051679
                  10  |   .0254559   .0165583     1.54   0.125    -.0070526    .0579644
                  11  |  -.0539283   .0078777    -6.85   0.000    -.0693945   -.0384621
                  12  |   .0177245    .007889     2.25   0.025     .0022361    .0332129
                  13  |  -.0070328   .0082063    -0.86   0.392     -.023144    .0090784
                  15  |  -.0243686   .0112807    -2.16   0.031    -.0465158   -.0022213
                  16  |   .0007127   .0114637     0.06   0.950    -.0217938    .0232192
                  17  |  -.0049409   .0089953    -0.55   0.583    -.0226012    .0127195
                  18  |  -.0035983   .0107775    -0.33   0.739    -.0247575    .0175609
                  19  |  -.0196084   .0129128    -1.52   0.129    -.0449598    .0057429
                  20  |  -.0059859   .0120232    -0.50   0.619    -.0295908     .017619
                  21  |  -.0109988    .010362    -1.06   0.289    -.0313422    .0093446
                  22  |  -.0004059   .0119752    -0.03   0.973    -.0239164    .0231047
                  23  |  -.0225571   .0145517    -1.55   0.122    -.0511261     .006012
                  24  |  -.0220975   .0089049    -2.48   0.013    -.0395803   -.0046146
                  25  |  -.0281475    .007809    -3.60   0.000    -.0434787   -.0128164
                  26  |  -.0290915    .008199    -3.55   0.000    -.0451884   -.0129945
                  27  |  -.0107075   .0096819    -1.11   0.269    -.0297158    .0083008
                  28  |    .000993   .0105269     0.09   0.925    -.0196742    .0216601
                  29  |  -.0123918   .0082563    -1.50   0.134    -.0286011    .0038175
                  30  |  -.0153009   .0117649    -1.30   0.194    -.0383987    .0077969
                  31  |   .0113125   .0203597     0.56   0.579    -.0286592    .0512843
                  32  |  -.0043464   .0103258    -0.42   0.674    -.0246188     .015926
                  33  |  -.0104315   .0088433    -1.18   0.239    -.0277933    .0069304
                  34  |  -.0242898   .0109888    -2.21   0.027    -.0458638   -.0027158
                  35  |  -.0263733   .0101635    -2.59   0.010     -.046327   -.0064196
                  36  |  -.0043061   .0081525    -0.53   0.598    -.0203117    .0116994
                  37  |  -.0089708   .0096319    -0.93   0.352    -.0278809    .0099392
                  38  |   .0270979   .0103557     2.62   0.009     .0067668     .047429
                  39  |  -.0221201   .0111382    -1.99   0.047    -.0439876   -.0002527
                  40  |  -.0212137   .0089544    -2.37   0.018    -.0387937   -.0036336
                  41  |  -.0162023   .0105997    -1.53   0.127    -.0370124    .0046078
                  42  |  -.0249776   .0088085    -2.84   0.005    -.0422712   -.0076841
                  44  |  -.0230096   .0074219    -3.10   0.002    -.0375809   -.0084383
                  45  |    .018705    .015295     1.22   0.222    -.0113234    .0487333
                  46  |   .0440279   .0299605     1.47   0.142    -.0147929    .1028486
                  47  |  -.0093824   .0107437    -0.87   0.383    -.0304752    .0117104
                  48  |  -.0053992    .008986    -0.60   0.548    -.0230413    .0122428
                  49  |   .0146332   .0163591     0.89   0.371    -.0174843    .0467506
                  50  |   .0050513    .013019     0.39   0.698    -.0205086    .0306113
                  51  |  -.0181564   .0093114    -1.95   0.052    -.0364372    .0001244
                  53  |   -.010887   .0089805    -1.21   0.226    -.0285182    .0067442
                  54  |  -.0385287   .0106723    -3.61   0.000    -.0594815   -.0175759
                  55  |   -.012601   .0108466    -1.16   0.246    -.0338958    .0086938
                  56  |  -.0086575   .0192918    -0.45   0.654    -.0465326    .0292176
                      |
                 year |
                2018  |    .002421   .0020208     1.20   0.231    -.0015463    .0063884
                2020  |  -.0268323   .0018725   -14.33   0.000    -.0305086    -.023156
                      |
       emergency_room |   .0184281   .0021138     8.72   0.000     .0142782    .0225781
                _cons |   .1591868   .0241302     6.60   0.000     .1118126     .206561
---------------------------------------------------------------------------------------
(est6 stored)

. 
. eststo: reg donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year emergency_room , cluster(czone)  

Linear regression                               Number of obs     =    146,310
                                                F(68, 717)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0254
                                                Root MSE          =     .32489

                                         (Std. Err. adjusted for 718 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0073725   .0012368    -5.96   0.000    -.0098006   -.0049444
      cz_mean_ideo5_3 |   .0122448   .0058967     2.08   0.038     .0006679    .0238217
             fb_share |  -.0389958   .0178034    -2.19   0.029    -.0739488   -.0040428
                  age |  -.0021536   .0000656   -32.85   0.000    -.0022824   -.0020249
               female |  -.0316172   .0018787   -16.83   0.000    -.0353057   -.0279287
              college |   .0694108   .0051282    13.54   0.000     .0593427    .0794789
                   hs |   .0406201   .0046648     8.71   0.000     .0314617    .0497785
          citizen_dum |   .0343136   .0084962     4.04   0.000     .0176332     .050994
          income_100k |   .0297734   .0026282    11.33   0.000     .0246134    .0349333
           income_50k |   .0270839    .002121    12.77   0.000     .0229197    .0312481
                white |  -.0214509   .0053922    -3.98   0.000    -.0320372   -.0108645
                black |  -.0492432   .0058356    -8.44   0.000    -.0607002   -.0377863
        race_hispanic |   .0001235    .006109     0.02   0.984    -.0118701    .0121171
                asian |  -.0229782   .0073059    -3.15   0.002    -.0373218   -.0086346
nohealthinsurance_dum |  -.0235873   .0032648    -7.22   0.000     -.029997   -.0171776
            log_blood |   .0013322   .0019208     0.69   0.488    -.0024388    .0051033
L1_firearm_death_rate |  -.0003988   .0009849    -0.40   0.686    -.0023326    .0015349
    incarcerated_rate |   .0849134   .0709884     1.20   0.232    -.0544566    .2242833
                      |
                state |
                   2  |  -.0474355   .0121494    -3.90   0.000    -.0712883   -.0235828
                   4  |  -.0142604   .0076751    -1.86   0.064    -.0293287     .000808
                   5  |   -.026414   .0125745    -2.10   0.036    -.0511012   -.0017269
                   6  |  -.0144705   .0086368    -1.68   0.094    -.0314269    .0024859
                   8  |  -.0352954   .0127732    -2.76   0.006    -.0603728   -.0102181
                   9  |  -.0203356   .0074843    -2.72   0.007    -.0350293   -.0056419
                  10  |   .0250194   .0165057     1.52   0.130     -.007386    .0574247
                  11  |  -.0544408   .0078673    -6.92   0.000    -.0698866   -.0389951
                  12  |    .017363   .0078929     2.20   0.028      .001867    .0328589
                  13  |  -.0071697   .0081875    -0.88   0.381     -.023244    .0089045
                  15  |  -.0249727    .011333    -2.20   0.028    -.0472225   -.0027229
                  16  |   .0004659   .0114789     0.04   0.968    -.0220703    .0230022
                  17  |  -.0051221   .0089592    -0.57   0.568    -.0227115    .0124673
                  18  |   -.003805   .0107699    -0.35   0.724    -.0249494    .0173393
                  19  |  -.0199255   .0128912    -1.55   0.123    -.0452346    .0053835
                  20  |  -.0062943   .0120426    -0.52   0.601    -.0299373    .0173487
                  21  |  -.0111735   .0103495    -1.08   0.281    -.0314923    .0091454
                  22  |  -.0004276   .0119427    -0.04   0.971    -.0238744    .0230192
                  23  |  -.0229696   .0145323    -1.58   0.114    -.0515006    .0055613
                  24  |  -.0222808   .0088925    -2.51   0.012    -.0397393   -.0048223
                  25  |  -.0285167   .0077986    -3.66   0.000    -.0438276   -.0132059
                  26  |  -.0293745    .008177    -3.59   0.000    -.0454281   -.0133208
                  27  |  -.0109642    .009653    -1.14   0.256    -.0299157    .0079874
                  28  |    .001015    .010526     0.10   0.923    -.0196505    .0216805
                  29  |  -.0125652   .0082409    -1.52   0.128    -.0287444    .0036139
                  30  |  -.0156436   .0117555    -1.33   0.184    -.0387229    .0074356
                  31  |   .0110819   .0203365     0.54   0.586    -.0288442    .0510081
                  32  |  -.0048983   .0103128    -0.47   0.635    -.0251452    .0153485
                  33  |  -.0108676   .0088375    -1.23   0.219     -.028218    .0064828
                  34  |  -.0245958   .0110165    -2.23   0.026    -.0462242   -.0029674
                  35  |  -.0267729   .0101352    -2.64   0.008    -.0466711   -.0068746
                  36  |  -.0046375   .0081476    -0.57   0.569    -.0206336    .0113587
                  37  |  -.0091774   .0096132    -0.95   0.340    -.0280507    .0096959
                  38  |   .0268494   .0103318     2.60   0.010     .0065653    .0471335
                  39  |  -.0223623    .011131    -2.01   0.045    -.0442155    -.000509
                  40  |  -.0213418   .0089441    -2.39   0.017    -.0389015    -.003782
                  41  |  -.0167306   .0106054    -1.58   0.115    -.0375519    .0040907
                  42  |  -.0252024   .0087944    -2.87   0.004    -.0424683   -.0079366
                  44  |  -.0235464   .0074101    -3.18   0.002    -.0380946   -.0089983
                  45  |   .0186014   .0152924     1.22   0.224     -.011422    .0486247
                  46  |   .0438018   .0299468     1.46   0.144    -.0149921    .1025956
                  47  |   -.009566   .0107217    -0.89   0.373    -.0306156    .0114837
                  48  |  -.0056098   .0089866    -0.62   0.533    -.0232529    .0120334
                  49  |   .0143907   .0162968     0.88   0.378    -.0176044    .0463858
                  50  |   .0045058   .0129951     0.35   0.729    -.0210071    .0300187
                  51  |  -.0183343   .0092962    -1.97   0.049    -.0365853   -.0000834
                  53  |  -.0112639   .0089758    -1.25   0.210    -.0288859    .0063582
                  54  |  -.0388225   .0106418    -3.65   0.000    -.0597153   -.0179296
                  55  |   -.012835   .0108649    -1.18   0.238    -.0341658    .0084959
                  56  |    -.00895   .0192723    -0.46   0.643    -.0467868    .0288868
                      |
                 year |
                2018  |   .0024202    .002021     1.20   0.231    -.0015475    .0063879
                2020  |  -.0268593   .0018744   -14.33   0.000    -.0305393   -.0231793
                      |
       emergency_room |   .0183765   .0021099     8.71   0.000     .0142342    .0225188
                _cons |   .1595575   .0241346     6.61   0.000     .1121747    .2069404
---------------------------------------------------------------------------------------
(est7 stored)

. eststo: reg donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state i.year emergency_room, cluster(czone)  

Linear regression                               Number of obs     =    146,310
                                                F(69, 717)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0255
                                                Root MSE          =     .32489

                                         (Std. Err. adjusted for 718 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0073489    .001236    -5.95   0.000    -.0097754   -.0049223
              ideo5_3 |    .001754   .0010356     1.69   0.091    -.0002792    .0037872
      cz_mean_ideo5_3 |   .0107391   .0058601     1.83   0.067    -.0007658    .0222441
             fb_share |  -.0403617   .0175371    -2.30   0.022    -.0747919   -.0059314
                  age |  -.0021741    .000067   -32.44   0.000    -.0023056   -.0020425
               female |  -.0313426   .0019018   -16.48   0.000    -.0350763   -.0276089
              college |   .0700963   .0050943    13.76   0.000     .0600947    .0800978
                   hs |   .0407841   .0046597     8.75   0.000     .0316358    .0499325
          citizen_dum |    .034226   .0084999     4.03   0.000     .0175383    .0509137
          income_100k |   .0294905   .0026043    11.32   0.000     .0243775    .0346034
           income_50k |   .0269131   .0021136    12.73   0.000     .0227634    .0310627
                white |  -.0214798   .0053906    -3.98   0.000    -.0320631   -.0108966
                black |  -.0487577   .0058415    -8.35   0.000    -.0602261   -.0372893
        race_hispanic |   .0001958   .0061013     0.03   0.974    -.0117828    .0121743
                asian |  -.0230544    .007306    -3.16   0.002    -.0373981   -.0087106
nohealthinsurance_dum |  -.0236496   .0032676    -7.24   0.000    -.0300649   -.0172344
            log_blood |   .0014924   .0018999     0.79   0.432    -.0022377    .0052225
L1_firearm_death_rate |  -.0003817   .0009842    -0.39   0.698    -.0023138    .0015505
    incarcerated_rate |   .0843153   .0710153     1.19   0.236    -.0551074     .223738
                      |
                state |
                   2  |  -.0471489    .012152    -3.88   0.000    -.0710067   -.0232911
                   4  |  -.0138782   .0076695    -1.81   0.071    -.0289356    .0011793
                   5  |  -.0261674   .0125807    -2.08   0.038    -.0508669   -.0014679
                   6  |  -.0139898    .008687    -1.61   0.108    -.0310448    .0030653
                   8  |  -.0350303   .0127578    -2.75   0.006    -.0600773   -.0099832
                   9  |  -.0198605   .0074837    -2.65   0.008    -.0345531   -.0051679
                  10  |   .0254559   .0165583     1.54   0.125    -.0070526    .0579644
                  11  |  -.0539283   .0078777    -6.85   0.000    -.0693945   -.0384621
                  12  |   .0177245    .007889     2.25   0.025     .0022361    .0332129
                  13  |  -.0070328   .0082063    -0.86   0.392     -.023144    .0090784
                  15  |  -.0243686   .0112807    -2.16   0.031    -.0465158   -.0022213
                  16  |   .0007127   .0114637     0.06   0.950    -.0217938    .0232192
                  17  |  -.0049409   .0089953    -0.55   0.583    -.0226012    .0127195
                  18  |  -.0035983   .0107775    -0.33   0.739    -.0247575    .0175609
                  19  |  -.0196084   .0129128    -1.52   0.129    -.0449598    .0057429
                  20  |  -.0059859   .0120232    -0.50   0.619    -.0295908     .017619
                  21  |  -.0109988    .010362    -1.06   0.289    -.0313422    .0093446
                  22  |  -.0004059   .0119752    -0.03   0.973    -.0239164    .0231047
                  23  |  -.0225571   .0145517    -1.55   0.122    -.0511261     .006012
                  24  |  -.0220975   .0089049    -2.48   0.013    -.0395803   -.0046146
                  25  |  -.0281475    .007809    -3.60   0.000    -.0434787   -.0128164
                  26  |  -.0290915    .008199    -3.55   0.000    -.0451884   -.0129945
                  27  |  -.0107075   .0096819    -1.11   0.269    -.0297158    .0083008
                  28  |    .000993   .0105269     0.09   0.925    -.0196742    .0216601
                  29  |  -.0123918   .0082563    -1.50   0.134    -.0286011    .0038175
                  30  |  -.0153009   .0117649    -1.30   0.194    -.0383987    .0077969
                  31  |   .0113125   .0203597     0.56   0.579    -.0286592    .0512843
                  32  |  -.0043464   .0103258    -0.42   0.674    -.0246188     .015926
                  33  |  -.0104315   .0088433    -1.18   0.239    -.0277933    .0069304
                  34  |  -.0242898   .0109888    -2.21   0.027    -.0458638   -.0027158
                  35  |  -.0263733   .0101635    -2.59   0.010     -.046327   -.0064196
                  36  |  -.0043061   .0081525    -0.53   0.598    -.0203117    .0116994
                  37  |  -.0089708   .0096319    -0.93   0.352    -.0278809    .0099392
                  38  |   .0270979   .0103557     2.62   0.009     .0067668     .047429
                  39  |  -.0221201   .0111382    -1.99   0.047    -.0439876   -.0002527
                  40  |  -.0212137   .0089544    -2.37   0.018    -.0387937   -.0036336
                  41  |  -.0162023   .0105997    -1.53   0.127    -.0370124    .0046078
                  42  |  -.0249776   .0088085    -2.84   0.005    -.0422712   -.0076841
                  44  |  -.0230096   .0074219    -3.10   0.002    -.0375809   -.0084383
                  45  |    .018705    .015295     1.22   0.222    -.0113234    .0487333
                  46  |   .0440279   .0299605     1.47   0.142    -.0147929    .1028486
                  47  |  -.0093824   .0107437    -0.87   0.383    -.0304752    .0117104
                  48  |  -.0053992    .008986    -0.60   0.548    -.0230413    .0122428
                  49  |   .0146332   .0163591     0.89   0.371    -.0174843    .0467506
                  50  |   .0050513    .013019     0.39   0.698    -.0205086    .0306113
                  51  |  -.0181564   .0093114    -1.95   0.052    -.0364372    .0001244
                  53  |   -.010887   .0089805    -1.21   0.226    -.0285182    .0067442
                  54  |  -.0385287   .0106723    -3.61   0.000    -.0594815   -.0175759
                  55  |   -.012601   .0108466    -1.16   0.246    -.0338958    .0086938
                  56  |  -.0086575   .0192918    -0.45   0.654    -.0465326    .0292176
                      |
                 year |
                2018  |    .002421   .0020208     1.20   0.231    -.0015463    .0063884
                2020  |  -.0268323   .0018725   -14.33   0.000    -.0305086    -.023156
                      |
       emergency_room |   .0184281   .0021138     8.72   0.000     .0142782    .0225781
                _cons |   .1591868   .0241302     6.60   0.000     .1118126     .206561
---------------------------------------------------------------------------------------
(est8 stored)

. 
. esttab using "TableA15.tex", label keep(dist_st_ideo5_3 st_mean_ideo5_3 dist_cz_ideo5_3 cz_mean_ide
> o5_3 ideo5_3 fb_share age female college hs citizen_dum income_100k income_50k nohealthinsurance_du
> m log_blood L1_firearm_death_rate incarcerated_rate emergency_room) order(dist_st_ideo5_3 st_mean_i
> deo5_3 dist_cz_ideo5_3 cz_mean_ideo5_3 ideo5_3 fb_share age female college hs citizen_dum income_10
> 0k income_50k nohealthinsurance_dum log_blood L1_firearm_death_rate incarcerated_rate emergency_roo
> m) nonotes se(3) b(3) replace star(+ 0.10 * 0.05 ** 0.01) compress nogaps nodepvars indicate("State
>  FE = *state*") 
(output written to TableA15.tex)

. 
. * Table A16: Social Diversity and Blood Donation: Controlling for Emergency Room Visit
.         
. eststo clear

. 
. * Age < 40
. eststo: reg donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year emergency_room if age < 40 , cluster(state)  

Linear regression                               Number of obs     =     41,125
                                                F(20, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0173
                                                Root MSE          =     .36576

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0071325   .0024723    -2.89   0.006    -.0120983   -.0021668
      st_mean_ideo5_3 |  -.0430122    .052507    -0.82   0.417    -.1484757    .0624513
             fb_share |  -.0529174   .0267248    -1.98   0.053    -.1065957    .0007609
                  age |  -.0027552   .0003025    -9.11   0.000    -.0033628   -.0021475
               female |   -.034546   .0039819    -8.68   0.000    -.0425439   -.0265481
              college |    .079259   .0118916     6.67   0.000      .055374    .1031441
                   hs |   .0635305   .0104858     6.06   0.000     .0424691     .084592
          citizen_dum |   .0356563   .0117387     3.04   0.004     .0120785    .0592342
          income_100k |   .0134974   .0048724     2.77   0.008     .0037109    .0232839
           income_50k |    .022184    .005934     3.74   0.000     .0102652    .0341027
                white |  -.0096903   .0092616    -1.05   0.300    -.0282927    .0089121
                black |  -.0284724    .010484    -2.72   0.009    -.0495301   -.0074146
        race_hispanic |   .0191243   .0097192     1.97   0.055    -.0003972    .0386458
                asian |   .0041747   .0111408     0.37   0.709    -.0182022    .0265516
nohealthinsurance_dum |  -.0463881   .0048485    -9.57   0.000    -.0561267   -.0366496
            log_blood |   .0014722   .0021562     0.68   0.498    -.0028585     .005803
L1_firearm_death_rate |  -.0045188   .0030785    -1.47   0.148    -.0107022    .0016646
    incarcerated_rate |   .2004953   .1451826     1.38   0.173    -.0911125    .4921031
                      |
                state |
                   2  |  -.0434506   .0057811    -7.52   0.000    -.0550622   -.0318389
                   4  |  -.0151048   .0065698    -2.30   0.026    -.0283006    -.001909
                   5  |  -.0056127   .0057003    -0.98   0.330     -.017062    .0058366
                   6  |   -.036592   .0211728    -1.73   0.090    -.0791188    .0059347
                   8  |  -.0545328   .0123147    -4.43   0.000    -.0792677   -.0297979
                   9  |  -.0478375   .0174359    -2.74   0.008    -.0828584   -.0128165
                  10  |  -.0081138    .011379    -0.71   0.479    -.0309693    .0147417
                  11  |  -.0992212   .0431638    -2.30   0.026    -.1859183   -.0125241
                  12  |   .0198792   .0079815     2.49   0.016     .0038478    .0359106
                  13  |  -.0010566   .0059589    -0.18   0.860    -.0130253    .0109122
                  15  |  -.0212334   .0189979    -1.12   0.269    -.0593918    .0169251
                  16  |  -.0211557   .0079626    -2.66   0.011    -.0371491   -.0051622
                  17  |  -.0321817   .0165835    -1.94   0.058    -.0654906    .0011273
                  18  |  -.0129912   .0061865    -2.10   0.041    -.0254172   -.0005653
                  19  |  -.0392963   .0116065    -3.39   0.001    -.0626087   -.0159839
                  20  |   .0011255   .0068766     0.16   0.871    -.0126866    .0149375
                  21  |  -.0105564   .0063559    -1.66   0.103    -.0233226    .0022098
                  22  |  -.0252933   .0068989    -3.67   0.001    -.0391503   -.0114364
                  23  |  -.0542932   .0131192    -4.14   0.000    -.0806438   -.0279425
                  24  |  -.0659546   .0163608    -4.03   0.000    -.0988162   -.0330931
                  25  |  -.0643128   .0254353    -2.53   0.015    -.1154011   -.0132245
                  26  |  -.0639321    .013119    -4.87   0.000    -.0902824   -.0375818
                  27  |  -.0319254   .0168225    -1.90   0.064    -.0657145    .0018636
                  28  |   .0215129   .0046989     4.58   0.000     .0120749    .0309508
                  29  |  -.0346345   .0066259    -5.23   0.000     -.047943    -.021326
                  30  |  -.0420803   .0067559    -6.23   0.000      -.05565   -.0285107
                  31  |  -.0259483   .0092975    -2.79   0.007    -.0446229   -.0072737
                  32  |   .0234008   .0124665     1.88   0.066    -.0016388    .0484405
                  33  |  -.0419022   .0163874    -2.56   0.014    -.0748172   -.0089871
                  34  |  -.0454895   .0161949    -2.81   0.007    -.0780179   -.0129611
                  35  |   .0016777   .0135738     0.12   0.902     -.025586    .0289414
                  36  |  -.0306043   .0210528    -1.45   0.152    -.0728902    .0116815
                  37  |   -.014503   .0068646    -2.11   0.040    -.0282909   -.0007151
                  38  |   .0192525   .0058685     3.28   0.002     .0074652    .0310398
                  39  |  -.0390337   .0098502    -3.96   0.000    -.0588185    -.019249
                  40  |  -.0305265   .0021596   -14.13   0.000    -.0348643   -.0261888
                  41  |  -.0684761   .0237699    -2.88   0.006    -.1162193   -.0207329
                  42  |  -.0502146   .0087637    -5.73   0.000    -.0678169   -.0326123
                  44  |  -.0286872   .0241324    -1.19   0.240    -.0771585    .0197841
                  45  |   .0293703   .0060682     4.84   0.000     .0171819    .0415587
                  46  |   .1703737   .0118679    14.36   0.000     .1465363     .194211
                  47  |   .0136424    .006117     2.23   0.030     .0013561    .0259287
                  48  |    .001645   .0061557     0.27   0.790    -.0107191    .0140091
                  49  |  -.0118358   .0054949    -2.15   0.036    -.0228726   -.0007991
                  50  |   .0282677   .0291217     0.97   0.336     -.030225    .0867604
                  51  |  -.0433084   .0123929    -3.49   0.001    -.0682002   -.0184166
                  53  |  -.0506689   .0198673    -2.55   0.014    -.0905737   -.0107642
                  54  |  -.0510516    .006829    -7.48   0.000    -.0647682   -.0373351
                  55  |  -.0262939   .0111185    -2.36   0.022    -.0486262   -.0039617
                  56  |   -.081048   .0085202    -9.51   0.000    -.0981612   -.0639347
                      |
                 year |
                2018  |    .000772   .0049606     0.16   0.877    -.0091917    .0107356
                2020  |  -.0453418   .0053344    -8.50   0.000    -.0560563   -.0346272
                      |
       emergency_room |   .0408963   .0038116    10.73   0.000     .0332404    .0485523
                _cons |   .3324513   .1671836     1.99   0.052    -.0033469    .6682495
---------------------------------------------------------------------------------------
(est1 stored)

. eststo: reg donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state i.year emergency_room if age < 40 , cluster(state)  

Linear regression                               Number of obs     =     41,125
                                                F(21, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0174
                                                Root MSE          =     .36575

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0085101   .0024555    -3.47   0.001    -.0134423    -.003578
              ideo5_3 |  -.0032187   .0016821    -1.91   0.061    -.0065973    .0001598
      st_mean_ideo5_3 |  -.0406537   .0523323    -0.78   0.441    -.1457662    .0644587
             fb_share |  -.0525689   .0269151    -1.95   0.056    -.1066295    .0014916
                  age |  -.0027215   .0002961    -9.19   0.000    -.0033163   -.0021267
               female |  -.0347935   .0039529    -8.80   0.000    -.0427331   -.0268539
              college |   .0781073   .0119943     6.51   0.000     .0540161    .1021986
                   hs |   .0630629   .0105552     5.97   0.000     .0418622    .0842637
          citizen_dum |   .0355517    .011736     3.03   0.004     .0119793    .0591242
          income_100k |   .0137928   .0049197     2.80   0.007     .0039112    .0236744
           income_50k |   .0224161   .0059295     3.78   0.000     .0105062    .0343259
                white |  -.0091703   .0092563    -0.99   0.327    -.0277621    .0094216
                black |  -.0284517   .0104884    -2.71   0.009    -.0495184   -.0073851
        race_hispanic |   .0193442   .0097578     1.98   0.053    -.0002549    .0389433
                asian |   .0044287   .0111561     0.40   0.693     -.017979    .0268364
nohealthinsurance_dum |  -.0463738   .0048524    -9.56   0.000    -.0561202   -.0366275
            log_blood |   .0010361   .0022009     0.47   0.640    -.0033846    .0054568
L1_firearm_death_rate |  -.0046001   .0030752    -1.50   0.141    -.0107768    .0015767
    incarcerated_rate |   .2050602   .1453712     1.41   0.165    -.0869264    .4970468
                      |
                state |
                   2  |  -.0430991   .0058833    -7.33   0.000     -.054916   -.0312821
                   4  |  -.0157861    .006461    -2.44   0.018    -.0287633   -.0028089
                   5  |  -.0059489   .0056556    -1.05   0.298    -.0173085    .0054107
                   6  |  -.0368147   .0211094    -1.74   0.087    -.0792141    .0055847
                   8  |  -.0549972   .0122359    -4.49   0.000    -.0795736   -.0304207
                   9  |  -.0485527   .0173498    -2.80   0.007    -.0834007   -.0137047
                  10  |  -.0083714    .011322    -0.74   0.463    -.0311123    .0143695
                  11  |  -.0992111   .0430271    -2.31   0.025    -.1856335   -.0127888
                  12  |   .0196155   .0079378     2.47   0.017     .0036719    .0355591
                  13  |  -.0012978    .005916    -0.22   0.827    -.0131806    .0105849
                  15  |  -.0216904    .018924    -1.15   0.257    -.0597004    .0163196
                  16  |  -.0219286   .0078488    -2.79   0.007    -.0376933   -.0061639
                  17  |  -.0322533   .0165197    -1.95   0.056    -.0654341    .0009275
                  18  |  -.0133215   .0061323    -2.17   0.035    -.0256386   -.0010044
                  19  |  -.0399684    .011518    -3.47   0.001     -.063103   -.0168338
                  20  |   .0006203   .0067846     0.09   0.928     -.013007    .0142476
                  21  |  -.0112405   .0062535    -1.80   0.078    -.0238011    .0013201
                  22  |  -.0256709   .0068607    -3.74   0.000    -.0394511   -.0118907
                  23  |   -.055497   .0130081    -4.27   0.000    -.0816244   -.0293695
                  24  |  -.0663064   .0162883    -4.07   0.000    -.0990225   -.0335903
                  25  |  -.0649889   .0253269    -2.57   0.013    -.1158595   -.0141184
                  26  |  -.0646021   .0130351    -4.96   0.000    -.0907838   -.0384204
                  27  |  -.0322113   .0167466    -1.92   0.060    -.0658478    .0014252
                  28  |    .021207   .0046806     4.53   0.000     .0118057    .0306084
                  29  |  -.0350931   .0065488    -5.36   0.000    -.0482469   -.0219394
                  30  |  -.0428415   .0066502    -6.44   0.000    -.0561989   -.0294842
                  31  |   -.026699   .0091965    -2.90   0.005    -.0451708   -.0082271
                  32  |   .0228865   .0123862     1.85   0.071     -.001992     .047765
                  33  |  -.0427522   .0163019    -2.62   0.012    -.0754955    -.010009
                  34  |  -.0457248   .0161315    -2.83   0.007    -.0781258   -.0133239
                  35  |   .0008625   .0134941     0.06   0.949    -.0262411    .0279661
                  36  |  -.0308537    .020972    -1.47   0.148    -.0729772    .0112699
                  37  |  -.0149531   .0067938    -2.20   0.032    -.0285988   -.0013075
                  38  |   .0189673   .0058235     3.26   0.002     .0072705    .0306641
                  39  |  -.0396584   .0097679    -4.06   0.000    -.0592777    -.020039
                  40  |  -.0306902   .0021154   -14.51   0.000    -.0349391   -.0264413
                  41  |  -.0693184   .0236651    -2.93   0.005    -.1168511   -.0217856
                  42  |  -.0505583   .0087034    -5.81   0.000    -.0680396   -.0330769
                  44  |   -.029466   .0240152    -1.23   0.226    -.0777019    .0187699
                  45  |   .0288938   .0060049     4.81   0.000     .0168326    .0409549
                  46  |   .1705712    .011885    14.35   0.000     .1466994     .194443
                  47  |   .0133437   .0060804     2.19   0.033     .0011309    .0255565
                  48  |   .0014535   .0061227     0.24   0.813    -.0108444    .0137514
                  49  |  -.0119774   .0054738    -2.19   0.033    -.0229719   -.0009829
                  50  |   .0275563   .0290205     0.95   0.347    -.0307331    .0858457
                  51  |   -.043711   .0123291    -3.55   0.001    -.0684749   -.0189472
                  53  |  -.0512199   .0197749    -2.59   0.013     -.090939   -.0115009
                  54  |   -.051624   .0067533    -7.64   0.000    -.0651885   -.0380596
                  55  |  -.0268998   .0110511    -2.43   0.019    -.0490967   -.0047029
                  56  |  -.0815961   .0084315    -9.68   0.000    -.0985314   -.0646608
                      |
                 year |
                2018  |   .0006433   .0049292     0.13   0.897    -.0092574     .010544
                2020  |  -.0456124   .0053224    -8.57   0.000    -.0563028    -.034922
                      |
       emergency_room |   .0408885   .0038022    10.75   0.000     .0332516    .0485255
                _cons |   .3358215   .1668775     2.01   0.050     .0006382    .6710047
---------------------------------------------------------------------------------------
(est2 stored)

. 
. eststo: reg donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year emergency_room if age < 40 , cluster(czone)  

Linear regression                               Number of obs     =     41,125
                                                F(68, 645)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0174
                                                Root MSE          =     .36575

                                         (Std. Err. adjusted for 646 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0075853    .002464    -3.08   0.002    -.0124238   -.0027468
      cz_mean_ideo5_3 |   .0140106   .0126868     1.10   0.270    -.0109019     .038923
             fb_share |  -.0398928   .0320381    -1.25   0.214    -.1028043    .0230187
                  age |  -.0027649   .0003099    -8.92   0.000    -.0033735   -.0021563
               female |  -.0345989   .0045461    -7.61   0.000    -.0435258   -.0256719
              college |   .0795619   .0109434     7.27   0.000     .0580728    .1010509
                   hs |    .063592   .0104127     6.11   0.000     .0431452    .0840389
          citizen_dum |   .0354922    .010808     3.28   0.001      .014269    .0567153
          income_100k |   .0136814   .0050268     2.72   0.007     .0038105    .0235523
           income_50k |   .0222572   .0039574     5.62   0.000     .0144861    .0300282
                white |  -.0097962   .0086081    -1.14   0.256    -.0266996    .0071071
                black |  -.0283513   .0107009    -2.65   0.008    -.0493642   -.0073384
        race_hispanic |    .018959   .0101368     1.87   0.062    -.0009461    .0388641
                asian |   .0041816   .0125225     0.33   0.739    -.0204081    .0287713
nohealthinsurance_dum |  -.0463983   .0055138    -8.42   0.000    -.0572253   -.0355712
            log_blood |   .0020892   .0028507     0.73   0.464    -.0035085     .007687
L1_firearm_death_rate |  -.0045406   .0025275    -1.80   0.073    -.0095037    .0004224
    incarcerated_rate |   .1894956   .1599928     1.18   0.237     -.124674    .5036652
                      |
                state |
                   2  |   -.042235   .0353806    -1.19   0.233      -.11171    .0272399
                   4  |  -.0111233   .0260056    -0.43   0.669    -.0621891    .0399425
                   5  |  -.0064452   .0344354    -0.19   0.852    -.0740643    .0611739
                   6  |  -.0179324   .0266799    -0.67   0.502    -.0703222    .0344575
                   8  |  -.0422547   .0271119    -1.56   0.120     -.095493    .0109836
                   9  |   -.030346   .0257853    -1.18   0.240    -.0809793    .0202873
                  10  |   .0020768   .0327283     0.06   0.949    -.0621901    .0663437
                  11  |  -.0591837   .0262973    -2.25   0.025    -.1108223   -.0075451
                  12  |   .0251883   .0265752     0.95   0.344    -.0269961    .0773727
                  13  |   .0027352   .0265436     0.10   0.918    -.0493871    .0548575
                  15  |  -.0040424   .0321101    -0.13   0.900    -.0670953    .0590106
                  16  |  -.0258719   .0285695    -0.91   0.365    -.0819723    .0302284
                  17  |  -.0158961   .0275962    -0.58   0.565    -.0700852    .0382931
                  18  |  -.0073621      .0355    -0.21   0.836    -.0770716    .0623475
                  19  |  -.0270039   .0310619    -0.87   0.385    -.0879985    .0339908
                  20  |   .0069307   .0336494     0.21   0.837    -.0591449    .0730063
                  21  |  -.0063349    .027977    -0.23   0.821    -.0612719    .0486021
                  22  |  -.0286803    .027751    -1.03   0.302    -.0831735    .0258129
                  23  |  -.0395478   .0417482    -0.95   0.344    -.1215266     .042431
                  24  |  -.0493745   .0261013    -1.89   0.059    -.1006284    .0018793
                  25  |  -.0382628   .0262704    -1.46   0.146    -.0898485     .013323
                  26  |   -.049864   .0263152    -1.89   0.059    -.1015379    .0018099
                  27  |   -.014139   .0277742    -0.51   0.611    -.0686777    .0403997
                  28  |   .0198469   .0299477     0.66   0.508    -.0389598    .0786537
                  29  |  -.0299636   .0264971    -1.13   0.259    -.0819946    .0220675
                  30  |  -.0362633   .0347511    -1.04   0.297    -.1045022    .0319755
                  31  |  -.0168781    .027961    -0.60   0.546    -.0717836    .0380274
                  32  |   .0336757   .0290919     1.16   0.247    -.0234507     .090802
                  33  |  -.0241898   .0292877    -0.83   0.409    -.0817006     .033321
                  34  |  -.0309897   .0260577    -1.19   0.235    -.0821579    .0201786
                  35  |    .015643   .0298007     0.52   0.600     -.042875     .074161
                  36  |  -.0105843   .0272098    -0.39   0.697    -.0640149    .0428463
                  37  |  -.0081716   .0263344    -0.31   0.756     -.059883    .0435399
                  38  |   .0210288   .0393941     0.53   0.594    -.0563273    .0983849
                  39  |  -.0289571   .0304229    -0.95   0.342     -.088697    .0307827
                  40  |  -.0303433   .0301323    -1.01   0.314    -.0895126     .028826
                  41  |  -.0434613   .0273193    -1.59   0.112    -.0971067    .0101842
                  42  |  -.0420626   .0269518    -1.56   0.119    -.0949864    .0108612
                  44  |  -.0049143   .0259301    -0.19   0.850    -.0558319    .0460033
                  45  |   .0276481   .0341068     0.81   0.418    -.0393256    .0946218
                  46  |   .1598635   .0530247     3.01   0.003     .0557416    .2639853
                  47  |   .0122078   .0275846     0.44   0.658    -.0419587    .0663743
                  48  |   .0039125   .0276306     0.14   0.887    -.0503443    .0581694
                  49  |  -.0109133   .0384798    -0.28   0.777    -.0864741    .0646475
                  50  |   .0595865   .0768628     0.78   0.438     -.091345     .210518
                  51  |  -.0304426   .0266445    -1.14   0.254     -.082763    .0218778
                  53  |  -.0302013   .0264255    -1.14   0.254    -.0820917    .0216891
                  54  |  -.0518475   .0278234    -1.86   0.063    -.1064828    .0027878
                  55  |  -.0138042   .0290662    -0.47   0.635    -.0708799    .0432715
                  56  |  -.0857353   .0424027    -2.02   0.044    -.1689992   -.0024714
                      |
                 year |
                2018  |   .0011113   .0047383     0.23   0.815     -.008193    .0104156
                2020  |  -.0408907   .0042645    -9.59   0.000    -.0492648   -.0325166
                      |
       emergency_room |    .040943   .0045405     9.02   0.000     .0320271     .049859
                _cons |     .14852   .0536584     2.77   0.006     .0431538    .2538862
---------------------------------------------------------------------------------------
(est3 stored)

. eststo: reg donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state i.year emergency_room if age < 40, cluster(czone)  

Linear regression                               Number of obs     =     41,125
                                                F(69, 645)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0175
                                                Root MSE          =     .36573

                                         (Std. Err. adjusted for 646 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |   -.009135   .0025616    -3.57   0.000     -.014165    -.004105
              ideo5_3 |  -.0036258   .0017481    -2.07   0.038    -.0070585    -.000193
      cz_mean_ideo5_3 |   .0175329   .0126039     1.39   0.165    -.0072167    .0422825
             fb_share |  -.0360923   .0317037    -1.14   0.255    -.0983473    .0261627
                  age |  -.0027282   .0003088    -8.84   0.000    -.0033346   -.0021219
               female |  -.0348927   .0045677    -7.64   0.000    -.0438621   -.0259233
              college |    .078336   .0109873     7.13   0.000     .0567608    .0999112
                   hs |   .0630842   .0104216     6.05   0.000     .0426198    .0835486
          citizen_dum |   .0353294    .010797     3.27   0.001     .0141279    .0565309
          income_100k |   .0140585   .0050347     2.79   0.005     .0041721    .0239448
           income_50k |   .0225404   .0039417     5.72   0.000     .0148002    .0302805
                white |  -.0092329   .0086174    -1.07   0.284    -.0261544    .0076886
                black |  -.0282858   .0107064    -2.64   0.008    -.0493093   -.0072622
        race_hispanic |   .0191704   .0101689     1.89   0.060    -.0007978    .0391386
                asian |   .0044823   .0125466     0.36   0.721    -.0201549    .0291195
nohealthinsurance_dum |  -.0463854    .005513    -8.41   0.000    -.0572111   -.0355597
            log_blood |   .0017481   .0028439     0.61   0.539    -.0038362    .0073325
L1_firearm_death_rate |  -.0046296   .0025241    -1.83   0.067    -.0095861    .0003268
    incarcerated_rate |   .1921481   .1597863     1.20   0.230     -.121616    .5059122
                      |
                state |
                   2  |   -.041823   .0350647    -1.19   0.233    -.1106777    .0270317
                   4  |  -.0120367   .0258814    -0.47   0.642    -.0628587    .0387854
                   5  |  -.0068125    .034381    -0.20   0.843    -.0743247    .0606997
                   6  |   -.018722   .0265784    -0.70   0.481    -.0709125    .0334686
                   8  |  -.0427795   .0270157    -1.58   0.114    -.0958289    .0102699
                   9  |  -.0311988   .0256604    -1.22   0.224    -.0815868    .0191892
                  10  |   .0015224   .0327545     0.05   0.963    -.0627959    .0658406
                  11  |  -.0603192   .0261734    -2.30   0.022    -.1117147   -.0089237
                  12  |   .0244445    .026457     0.92   0.356    -.0275077    .0763967
                  13  |   .0023467   .0264418     0.09   0.929    -.0495757    .0542692
                  15  |  -.0048718   .0321042    -0.15   0.879    -.0679131    .0581694
                  16  |  -.0267219   .0285107    -0.94   0.349    -.0827069     .029263
                  17  |  -.0161719   .0274842    -0.59   0.556    -.0701412    .0377973
                  18  |  -.0076112   .0353692    -0.22   0.830    -.0770639    .0618416
                  19  |  -.0275157   .0309272    -0.89   0.374    -.0882459    .0332144
                  20  |   .0065007   .0335286     0.19   0.846    -.0593378    .0723391
                  21  |   -.006843   .0278666    -0.25   0.806    -.0615632    .0478773
                  22  |   -.029187   .0276461    -1.06   0.291    -.0834743    .0251003
                  23  |  -.0404747   .0418517    -0.97   0.334    -.1226566    .0417073
                  24  |  -.0498337   .0259933    -1.92   0.056    -.1008754     .001208
                  25  |  -.0391068    .026145    -1.50   0.135    -.0904464    .0122328
                  26  |  -.0504219    .026192    -1.93   0.055    -.1018538    .0010099
                  27  |  -.0143644   .0276687    -0.52   0.604    -.0686961    .0399673
                  28  |   .0196176   .0298873     0.66   0.512    -.0390705    .0783056
                  29  |  -.0304261   .0263882    -1.15   0.249    -.0822432     .021391
                  30  |  -.0368413   .0346461    -1.06   0.288     -.104874    .0311914
                  31  |  -.0176152   .0278535    -0.63   0.527    -.0723096    .0370792
                  32  |   .0326595   .0289576     1.13   0.260    -.0242031    .0895221
                  33  |  -.0249063   .0291646    -0.85   0.393    -.0821752    .0323627
                  34  |  -.0316948   .0259444    -1.22   0.222    -.0826405    .0192508
                  35  |   .0148907   .0297557     0.50   0.617    -.0435389    .0733204
                  36  |  -.0112447   .0271045    -0.41   0.678    -.0644684    .0419789
                  37  |  -.0086242   .0262227    -0.33   0.742    -.0601163    .0428679
                  38  |   .0210479   .0392946     0.54   0.592    -.0561129    .0982088
                  39  |  -.0295012   .0303053    -0.97   0.331    -.0890102    .0300078
                  40  |  -.0305075   .0300454    -1.02   0.310    -.0895062    .0284912
                  41  |  -.0443062   .0272042    -1.63   0.104    -.0977257    .0091133
                  42  |    -.04239   .0268518    -1.58   0.115    -.0951175    .0103375
                  44  |  -.0061297   .0258029    -0.24   0.812    -.0567975    .0445382
                  45  |   .0271697   .0340469     0.80   0.425    -.0396863    .0940258
                  46  |   .1598099   .0532245     3.00   0.003     .0552957     .264324
                  47  |   .0118579   .0274993     0.43   0.666     -.042141    .0658568
                  48  |   .0033149   .0275111     0.12   0.904    -.0507072     .057337
                  49  |  -.0111418   .0383599    -0.29   0.772    -.0864671    .0641835
                  50  |   .0591439   .0770712     0.77   0.443    -.0921968    .2104846
                  51  |  -.0308526   .0265354    -1.16   0.245    -.0829588    .0212537
                  53  |  -.0308134   .0263125    -1.17   0.242    -.0824818    .0208551
                  54  |  -.0522124   .0277117    -1.88   0.060    -.1066284    .0022037
                  55  |   -.014194   .0290045    -0.49   0.625    -.0711486    .0427607
                  56  |  -.0862595   .0424108    -2.03   0.042    -.1695394   -.0029796
                      |
                 year |
                2018  |   .0009913   .0047254     0.21   0.834    -.0082878    .0102704
                2020  |  -.0410978   .0042515    -9.67   0.000    -.0494462   -.0327493
                      |
       emergency_room |   .0409367   .0045348     9.03   0.000      .032032    .0498414
                _cons |   .1492328   .0535972     2.78   0.006     .0439867    .2544788
---------------------------------------------------------------------------------------
(est4 stored)

.         
. * Age >= 40
. eststo: reg donate_blood dist_st_ideo5_3 st_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year emergency_room if age >= 40 , cluster(state)  

Linear regression                               Number of obs     =    105,185
                                                F(20, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0254
                                                Root MSE          =     .30699

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0066695   .0011525    -5.79   0.000    -.0089844   -.0043547
      st_mean_ideo5_3 |   .0516242   .0257607     2.00   0.051    -.0001178    .1033661
             fb_share |  -.0508947   .0160879    -3.16   0.003    -.0832083   -.0185811
                  age |  -.0025728   .0001684   -15.27   0.000    -.0029111   -.0022345
               female |  -.0302015   .0017795   -16.97   0.000    -.0337758   -.0266273
              college |   .0672316   .0047553    14.14   0.000     .0576803    .0767829
                   hs |   .0318858    .004201     7.59   0.000     .0234479    .0403238
          citizen_dum |   .0291506   .0102592     2.84   0.006     .0085443    .0497568
          income_100k |   .0336923   .0032758    10.29   0.000     .0271126     .040272
           income_50k |   .0290736   .0023592    12.32   0.000     .0243351    .0338121
                white |  -.0263657   .0068529    -3.85   0.000    -.0401301   -.0126012
                black |  -.0608045   .0076775    -7.92   0.000    -.0762252   -.0453838
        race_hispanic |  -.0127793   .0082319    -1.55   0.127    -.0293135     .003755
                asian |  -.0412994   .0089712    -4.60   0.000    -.0593187   -.0232802
nohealthinsurance_dum |  -.0127424   .0051852    -2.46   0.018    -.0231572   -.0023275
            log_blood |    .001134   .0028459     0.40   0.692    -.0045822    .0068502
L1_firearm_death_rate |   .0012212   .0009291     1.31   0.195     -.000645    .0030874
    incarcerated_rate |   .0651664   .0919278     0.71   0.482    -.1194761    .2498089
                      |
                state |
                   2  |  -.0487301   .0019761   -24.66   0.000    -.0526992   -.0447609
                   4  |  -.0099146   .0027265    -3.64   0.001    -.0153908   -.0044383
                   5  |  -.0329281   .0019472   -16.91   0.000    -.0368393   -.0290169
                   6  |   .0063358   .0102103     0.62   0.538    -.0141722    .0268438
                   8  |  -.0224782   .0063616    -3.53   0.001    -.0352558   -.0097007
                   9  |  -.0016284    .008547    -0.19   0.850    -.0187955    .0155388
                  10  |   .0415308   .0055934     7.42   0.000     .0302961    .0527654
                  11  |  -.0017153   .0225449    -0.08   0.940     -.046998    .0435674
                  12  |   .0229825   .0040904     5.62   0.000     .0147666    .0311984
                  13  |  -.0071409   .0024981    -2.86   0.006    -.0121584   -.0021233
                  15  |  -.0134716   .0087914    -1.53   0.132    -.0311297    .0041864
                  16  |   .0057357   .0034143     1.68   0.099     -.001122    .0125935
                  17  |   .0139936   .0092535     1.51   0.137    -.0045926    .0325797
                  18  |   .0012787   .0027219     0.47   0.641    -.0041883    .0067457
                  19  |  -.0079482    .005534    -1.44   0.157    -.0190636    .0031671
                  20  |  -.0067843   .0029075    -2.33   0.024    -.0126241   -.0009444
                  21  |  -.0119166   .0020864    -5.71   0.000    -.0161072   -.0077259
                  22  |    .009831   .0019374     5.07   0.000     .0059396    .0137224
                  23  |  -.0089369   .0062967    -1.42   0.162    -.0215841    .0037103
                  24  |   .0043788   .0084983     0.52   0.609    -.0126904    .0214481
                  25  |  -.0022643   .0129668    -0.17   0.862    -.0283088    .0237803
                  26  |  -.0113612   .0064014    -1.77   0.082    -.0242188    .0014964
                  27  |   .0039684    .008869     0.45   0.656    -.0138456    .0217823
                  28  |   -.009273    .002128    -4.36   0.000    -.0135473   -.0049987
                  29  |  -.0026715   .0029251    -0.91   0.365    -.0085468    .0032037
                  30  |  -.0070762   .0028224    -2.51   0.015    -.0127452   -.0014072
                  31  |   .0296006   .0046561     6.36   0.000     .0202485    .0389527
                  32  |  -.0049428   .0060993    -0.81   0.422    -.0171935    .0073079
                  33  |   .0066935   .0078299     0.85   0.397    -.0090334    .0224203
                  34  |  -.0081761   .0084068    -0.97   0.335    -.0250617    .0087095
                  35  |  -.0262833   .0064905    -4.05   0.000    -.0393199   -.0132467
                  36  |   .0177043   .0108292     1.63   0.108    -.0040468    .0394554
                  37  |  -.0046048   .0031969    -1.44   0.156     -.011026    .0018165
                  38  |   .0339891   .0023404    14.52   0.000     .0292884    .0386899
                  39  |  -.0127389   .0048278    -2.64   0.011    -.0224359    -.003042
                  40  |  -.0187027   .0008528   -21.93   0.000    -.0204156   -.0169899
                  41  |   .0135223   .0117473     1.15   0.255    -.0100729    .0371174
                  42  |  -.0122645   .0043215    -2.84   0.007    -.0209444   -.0035845
                  44  |  -.0081585   .0125571    -0.65   0.519    -.0333802    .0170632
                  45  |   .0138668    .001719     8.07   0.000     .0104141    .0173194
                  46  |  -.0074368   .0052523    -1.42   0.163    -.0179863    .0031127
                  47  |  -.0183222   .0015826   -11.58   0.000     -.021501   -.0151433
                  48  |  -.0046451   .0028554    -1.63   0.110    -.0103804    .0010902
                  49  |   .0332636   .0019703    16.88   0.000     .0293061     .037221
                  50  |   .0122284   .0142377     0.86   0.395    -.0163689    .0408256
                  51  |  -.0027575   .0060943    -0.45   0.653    -.0149982    .0094832
                  53  |   .0131108   .0100651     1.30   0.199    -.0071055    .0333271
                  54  |  -.0374151    .002786   -13.43   0.000    -.0430109   -.0318192
                  55  |  -.0038043    .005571    -0.68   0.498    -.0149939    .0073854
                  56  |   .0084529   .0040208     2.10   0.041     .0003768     .016529
                      |
                 year |
                2018  |   .0027047   .0026519     1.02   0.313    -.0026218    .0080311
                2020  |  -.0189499   .0024979    -7.59   0.000    -.0239671   -.0139327
                      |
       emergency_room |   .0090274   .0024256     3.72   0.001     .0041554    .0138994
                _cons |   .0727848   .0875723     0.83   0.410    -.1031092    .2486789
---------------------------------------------------------------------------------------
(est5 stored)

. eststo: reg donate_blood dist_st_ideo5_3 ideo5_3 st_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state i.year emergency_room if age >= 40 , cluster(state)  

Linear regression                               Number of obs     =    105,185
                                                F(21, 50)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0255
                                                Root MSE          =     .30697

                                          (Std. Err. adjusted for 51 clusters in state)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_st_ideo5_3 |  -.0072194   .0012475    -5.79   0.000    -.0097251   -.0047138
              ideo5_3 |   .0035265   .0010637     3.32   0.002     .0013901     .005663
      st_mean_ideo5_3 |   .0484522   .0255634     1.90   0.064    -.0028935    .0997978
             fb_share |  -.0500377   .0161121    -3.11   0.003    -.0823999   -.0176756
                  age |  -.0026053   .0001663   -15.67   0.000    -.0029393   -.0022713
               female |  -.0295642   .0018085   -16.35   0.000    -.0331968   -.0259316
              college |   .0687403   .0048376    14.21   0.000     .0590237    .0784569
                   hs |   .0321746   .0042087     7.64   0.000      .023721    .0406281
          citizen_dum |   .0284302   .0101014     2.81   0.007      .008141    .0487194
          income_100k |   .0331213   .0032598    10.16   0.000     .0265738    .0396689
           income_50k |   .0287513   .0023582    12.19   0.000     .0240148    .0334878
                white |  -.0261678   .0068857    -3.80   0.000    -.0399982   -.0123374
                black |  -.0592692   .0077148    -7.68   0.000    -.0747648   -.0437735
        race_hispanic |  -.0124475   .0081575    -1.53   0.133    -.0288324    .0039373
                asian |  -.0415272   .0088989    -4.67   0.000    -.0594012   -.0236532
nohealthinsurance_dum |   -.012924   .0051803    -2.49   0.016    -.0233289    -.002519
            log_blood |   .0015602   .0028841     0.54   0.591    -.0042327    .0073531
L1_firearm_death_rate |    .001238   .0009314     1.33   0.190    -.0006328    .0031087
    incarcerated_rate |   .0623714   .0915235     0.68   0.499    -.1214591    .2462018
                      |
                state |
                   2  |   -.047808   .0020301   -23.55   0.000    -.0518856   -.0437303
                   4  |  -.0094233   .0027515    -3.42   0.001    -.0149497   -.0038968
                   5  |  -.0324648   .0019948   -16.27   0.000    -.0364714   -.0284581
                   6  |   .0064822    .010246     0.63   0.530    -.0140975    .0270619
                   8  |  -.0222587   .0063875    -3.48   0.001    -.0350884    -.009429
                   9  |  -.0011047   .0085836    -0.13   0.898    -.0183453    .0161358
                  10  |   .0420397   .0056385     7.46   0.000     .0307144     .053365
                  11  |  -.0029084   .0225451    -0.13   0.898    -.0481917    .0423748
                  12  |   .0230842   .0041169     5.61   0.000     .0148152    .0313533
                  13  |  -.0071441   .0025032    -2.85   0.006    -.0121719   -.0021162
                  15  |  -.0125821   .0088534    -1.42   0.161    -.0303647    .0052006
                  16  |    .006324    .003425     1.85   0.071    -.0005553    .0132034
                  17  |   .0138228   .0092789     1.49   0.143    -.0048144      .03246
                  18  |   .0017146   .0027665     0.62   0.538    -.0038421    .0072714
                  19  |  -.0073925   .0055773    -1.33   0.191    -.0185948    .0038098
                  20  |  -.0061508   .0029699    -2.07   0.044     -.012116   -.0001856
                  21  |  -.0115817   .0021255    -5.45   0.000    -.0158509   -.0073124
                  22  |   .0097737   .0019351     5.05   0.000      .005887    .0136604
                  23  |  -.0081085    .006375    -1.27   0.209    -.0209131     .004696
                  24  |   .0042309   .0085083     0.50   0.621    -.0128586    .0213204
                  25  |  -.0021687   .0129905    -0.17   0.868    -.0282609    .0239235
                  26  |   -.010958   .0064337    -1.70   0.095    -.0238805    .0019646
                  27  |   .0042587   .0089007     0.48   0.634    -.0136188    .0221362
                  28  |  -.0092452   .0021332    -4.33   0.000    -.0135299   -.0049606
                  29  |  -.0023991   .0029553    -0.81   0.421    -.0083351    .0035369
                  30  |  -.0062298   .0029379    -2.12   0.039    -.0121307   -.0003289
                  31  |   .0298274   .0046745     6.38   0.000     .0204383    .0392165
                  32  |  -.0044731   .0061364    -0.73   0.469    -.0167984    .0078523
                  33  |   .0074775   .0078822     0.95   0.347    -.0083543    .0233093
                  34  |  -.0082939   .0084314    -0.98   0.330    -.0252289    .0086411
                  35  |  -.0256369   .0065548    -3.91   0.000    -.0388026   -.0124712
                  36  |    .017592    .010852     1.62   0.111    -.0042049    .0393889
                  37  |  -.0043739   .0032182    -1.36   0.180    -.0108378      .00209
                  38  |   .0349034   .0024515    14.24   0.000     .0299794    .0398274
                  39  |  -.0123845   .0048583    -2.55   0.014    -.0221427   -.0026262
                  40  |   -.018471   .0008462   -21.83   0.000    -.0201706   -.0167713
                  41  |   .0142503   .0118091     1.21   0.233     -.009469    .0379696
                  42  |  -.0119877    .004348    -2.76   0.008     -.020721   -.0032544
                  44  |  -.0079152    .012592    -0.63   0.532    -.0332071    .0173766
                  45  |   .0140883   .0017242     8.17   0.000     .0106252    .0175514
                  46  |  -.0067377   .0052452    -1.28   0.205    -.0172731    .0037977
                  47  |  -.0179725   .0016167   -11.12   0.000    -.0212198   -.0147253
                  48  |  -.0047624   .0028772    -1.66   0.104    -.0105413    .0010166
                  49  |   .0338992   .0020419    16.60   0.000     .0297979    .0380005
                  50  |   .0132905   .0143213     0.93   0.358    -.0154746    .0420557
                  51  |   -.002778   .0060952    -0.46   0.651    -.0150206    .0094647
                  53  |   .0134846   .0101021     1.33   0.188    -.0068061    .0337754
                  54  |  -.0365513   .0028607   -12.78   0.000    -.0422972   -.0308053
                  55  |  -.0034061   .0055979    -0.61   0.546    -.0146498    .0078376
                  56  |   .0092641   .0040522     2.29   0.027      .001125    .0174031
                      |
                 year |
                2018  |   .0027045   .0026509     1.02   0.313    -.0026199    .0080289
                2020  |  -.0189513   .0024982    -7.59   0.000    -.0239691   -.0139334
                      |
       emergency_room |   .0091824   .0024185     3.80   0.000     .0043247    .0140402
                _cons |   .0724599   .0875648     0.83   0.412    -.1034193     .248339
---------------------------------------------------------------------------------------
(est6 stored)

. 
. eststo: reg donate_blood dist_cz_ideo5_3 cz_mean_ideo5_3 fb_share age female college hs citizen_dum
>  income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_firearm_
> death_rate incarcerated_rate i.state i.year emergency_room if age >= 40 , cluster(czone)  

Linear regression                               Number of obs     =    105,185
                                                F(68, 707)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0254
                                                Root MSE          =     .30699

                                         (Std. Err. adjusted for 708 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0069922    .001426    -4.90   0.000     -.009792   -.0041925
      cz_mean_ideo5_3 |   .0112488   .0060225     1.87   0.062    -.0005752    .0230729
             fb_share |   -.036635   .0193608    -1.89   0.059    -.0746465    .0013764
                  age |  -.0025737   .0001046   -24.60   0.000    -.0027792   -.0023683
               female |  -.0302165   .0019777   -15.28   0.000    -.0340994   -.0263336
              college |   .0674892   .0053818    12.54   0.000     .0569229    .0780555
                   hs |   .0320036    .004874     6.57   0.000     .0224344    .0415727
          citizen_dum |   .0291947   .0103603     2.82   0.005     .0088541    .0495353
          income_100k |   .0338375   .0031262    10.82   0.000     .0276998    .0399752
           income_50k |   .0291435   .0025715    11.33   0.000     .0240947    .0341922
                white |  -.0263566    .006226    -4.23   0.000    -.0385802    -.014133
                black |  -.0606171   .0066459    -9.12   0.000    -.0736651   -.0475691
        race_hispanic |  -.0128786   .0073468    -1.75   0.080    -.0273029    .0015456
                asian |  -.0412456   .0105606    -3.91   0.000    -.0619795   -.0205117
nohealthinsurance_dum |  -.0127195   .0042787    -2.97   0.003      -.02112    -.004319
            log_blood |   .0016907   .0022861     0.74   0.460    -.0027977     .006179
L1_firearm_death_rate |   .0012493   .0008926     1.40   0.162     -.000503    .0030017
    incarcerated_rate |   .0568415   .0810363     0.70   0.483     -.102259    .2159421
                      |
                state |
                   2  |  -.0497432   .0181061    -2.75   0.006    -.0852914   -.0141949
                   4  |  -.0143984   .0073214    -1.97   0.050    -.0287727   -.0000241
                   5  |   -.032765   .0113076    -2.90   0.004    -.0549654   -.0105645
                   6  |  -.0128349   .0087289    -1.47   0.142    -.0299726    .0043028
                   8  |  -.0326565   .0136694    -2.39   0.017    -.0594939   -.0058191
                   9  |  -.0164996   .0071725    -2.30   0.022    -.0305816   -.0024176
                  10  |   .0317021   .0150351     2.11   0.035     .0021833     .061221
                  11  |  -.0429121    .007594    -5.65   0.000    -.0578216   -.0280026
                  12  |   .0153059   .0080575     1.90   0.058    -.0005136    .0311253
                  13  |  -.0115581   .0081385    -1.42   0.156    -.0275366    .0044203
                  15  |  -.0297909   .0114909    -2.59   0.010    -.0523512   -.0072306
                  16  |   .0099044   .0134202     0.74   0.461    -.0164439    .0362526
                  17  |  -.0008965   .0082116    -0.11   0.913    -.0170186    .0152256
                  18  |  -.0026218   .0095644    -0.27   0.784    -.0213997    .0161562
                  19  |  -.0165742   .0133617    -1.24   0.215    -.0428075     .009659
                  20  |  -.0111097   .0153479    -0.72   0.469    -.0412426    .0190232
                  21  |  -.0141876   .0098951    -1.43   0.152    -.0336148    .0052396
                  22  |   .0116529   .0150505     0.77   0.439    -.0178962    .0412019
                  23  |  -.0182722   .0118772    -1.54   0.124     -.041591    .0050466
                  24  |   -.009946   .0087179    -1.14   0.254    -.0270622    .0071702
                  25  |  -.0240153   .0075982    -3.16   0.002     -.038933   -.0090976
                  26  |  -.0214674   .0086153    -2.49   0.013    -.0383822   -.0045527
                  27  |  -.0101559   .0103138    -0.98   0.325    -.0304053    .0100935
                  28  |   -.007174   .0122467    -0.59   0.558    -.0312183    .0168703
                  29  |  -.0063005   .0087206    -0.72   0.470    -.0234219    .0108208
                  30  |  -.0101501   .0121017    -0.84   0.402    -.0339097    .0136095
                  31  |   .0219275   .0262336     0.84   0.404    -.0295776    .0734326
                  32  |  -.0168105   .0133638    -1.26   0.209     -.043048    .0094271
                  33  |  -.0057462    .008811    -0.65   0.515    -.0230451    .0115528
                  34  |  -.0229515   .0126381    -1.82   0.070    -.0477642    .0018612
                  35  |  -.0368756   .0102169    -3.61   0.000    -.0569347   -.0168165
                  36  |  -.0013973   .0082099    -0.17   0.865    -.0175159    .0147214
                  37  |  -.0099079   .0106938    -0.93   0.354    -.0309033    .0110875
                  38  |   .0332018   .0172398     1.93   0.055    -.0006454    .0670491
                  39  |   -.020004   .0098552    -2.03   0.043     -.039353   -.0006549
                  40  |  -.0190738   .0149467    -1.28   0.202    -.0484191    .0102714
                  41  |  -.0066282   .0121457    -0.55   0.585    -.0304741    .0172177
                  42  |  -.0186415   .0089195    -2.09   0.037    -.0361534   -.0011296
                  44  |  -.0300245   .0070957    -4.23   0.000    -.0439557   -.0160934
                  45  |   .0154104   .0143156     1.08   0.282    -.0126959    .0435166
                  46  |  -.0000409   .0271858    -0.00   0.999    -.0534155    .0533337
                  47  |  -.0175832   .0129268    -1.36   0.174    -.0429627    .0077963
                  48  |  -.0098559   .0085296    -1.16   0.248    -.0266023    .0068906
                  49  |   .0316201   .0080181     3.94   0.000     .0158779    .0473623
                  50  |  -.0111797   .0149109    -0.75   0.454    -.0404548    .0180953
                  51  |  -.0132171   .0098142    -1.35   0.179    -.0324856    .0060515
                  53  |  -.0036796   .0099545    -0.37   0.712    -.0232234    .0158642
                  54  |   -.034859   .0125565    -2.78   0.006    -.0595115   -.0102065
                  55  |  -.0124415   .0109534    -1.14   0.256    -.0339466    .0090637
                  56  |   .0131185   .0222436     0.59   0.556    -.0305529    .0567899
                      |
                 year |
                2018  |   .0027298   .0022844     1.19   0.232    -.0017552    .0072148
                2020  |  -.0216731   .0021657   -10.01   0.000     -.025925   -.0174212
                      |
       emergency_room |   .0090345   .0023939     3.77   0.000     .0043346    .0137344
                _cons |   .2013291   .0266235     7.56   0.000     .1490585    .2535997
---------------------------------------------------------------------------------------
(est7 stored)

. eststo: reg donate_blood dist_cz_ideo5_3 ideo5_3 cz_mean_ideo5_3 fb_share age female college hs cit
> izen_dum income_100k income_50k white black race_hispanic asian nohealthinsurance_dum log_blood L1_
> firearm_death_rate incarcerated_rate i.state i.year emergency_room if age >= 40 , cluster(czone)  

Linear regression                               Number of obs     =    105,185
                                                F(69, 707)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0256
                                                Root MSE          =     .30697

                                         (Std. Err. adjusted for 708 clusters in czone)
---------------------------------------------------------------------------------------
                      |               Robust
         donate_blood |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
      dist_cz_ideo5_3 |  -.0075158   .0014165    -5.31   0.000    -.0102969   -.0047347
              ideo5_3 |   .0033652   .0011563     2.91   0.004      .001095    .0056354
      cz_mean_ideo5_3 |   .0084506   .0060374     1.40   0.162    -.0034027    .0203039
             fb_share |  -.0387613   .0191015    -2.03   0.043    -.0762637   -.0012589
                  age |  -.0026047    .000104   -25.05   0.000    -.0028088   -.0024005
               female |  -.0296102   .0019593   -15.11   0.000     -.033457   -.0257634
              college |   .0688481   .0053551    12.86   0.000     .0583342    .0793619
                   hs |   .0322403   .0048652     6.63   0.000     .0226883    .0417922
          citizen_dum |   .0285158   .0103239     2.76   0.006     .0082466     .048785
          income_100k |   .0332595   .0030781    10.81   0.000     .0272163    .0393028
           income_50k |   .0288177   .0025687    11.22   0.000     .0237745    .0338609
                white |  -.0261692   .0062328    -4.20   0.000    -.0384061   -.0139322
                black |  -.0592196   .0067329    -8.80   0.000    -.0724384   -.0460008
        race_hispanic |  -.0125524    .007351    -1.71   0.088    -.0269849      .00188
                asian |  -.0414462   .0104986    -3.95   0.000    -.0620584    -.020834
nohealthinsurance_dum |  -.0128835   .0042795    -3.01   0.003    -.0212855   -.0044814
            log_blood |   .0019691   .0022683     0.87   0.386    -.0024842    .0064225
L1_firearm_death_rate |   .0012595   .0008885     1.42   0.157    -.0004848    .0030039
    incarcerated_rate |   .0560316   .0810206     0.69   0.489    -.1030381    .2151014
                      |
                state |
                   2  |  -.0488728    .018117    -2.70   0.007    -.0844424   -.0133031
                   4  |  -.0136685   .0072493    -1.89   0.060    -.0279013    .0005642
                   5  |  -.0322724   .0112831    -2.86   0.004    -.0544248     -.01012
                   6  |  -.0118558   .0087267    -1.36   0.175     -.028989    .0052775
                   8  |  -.0321288   .0135982    -2.36   0.018    -.0588264   -.0054312
                   9  |  -.0155913   .0071229    -2.19   0.029    -.0295759   -.0016066
                  10  |   .0326427   .0151879     2.15   0.032     .0028239    .0624614
                  11  |  -.0421316   .0075584    -5.57   0.000    -.0569712    -.027292
                  12  |   .0159886   .0080122     2.00   0.046      .000258    .0317193
                  13  |   -.011309   .0080998    -1.40   0.163    -.0272114    .0045935
                  15  |  -.0284248   .0113929    -2.49   0.013    -.0507928   -.0060568
                  16  |    .010313   .0133906     0.77   0.441    -.0159772    .0366031
                  17  |  -.0005168   .0081931    -0.06   0.950    -.0166026     .015569
                  18  |  -.0021694   .0095369    -0.23   0.820    -.0208935    .0165546
                  19  |  -.0159074   .0133325    -1.19   0.233    -.0420835    .0102687
                  20  |  -.0104697   .0152501    -0.69   0.493    -.0404106    .0194712
                  21  |  -.0139069   .0098503    -1.41   0.158    -.0332462    .0054324
                  22  |   .0116052   .0150742     0.77   0.442    -.0179903    .0412008
                  23  |  -.0174973    .011929    -1.47   0.143    -.0409177    .0059231
                  24  |  -.0096468   .0086636    -1.11   0.266    -.0266562    .0073627
                  25  |  -.0233793   .0075482    -3.10   0.002    -.0381988   -.0085599
                  26  |  -.0209302   .0086082    -2.43   0.015     -.037831   -.0040295
                  27  |  -.0095451   .0103147    -0.93   0.355    -.0297963     .010706
                  28  |  -.0073072   .0121559    -0.60   0.548    -.0311732    .0165587
                  29  |  -.0059916   .0086364    -0.69   0.488    -.0229477    .0109644
                  30  |  -.0094319   .0120494    -0.78   0.434    -.0330888     .014225
                  31  |   .0223227   .0263465     0.85   0.397    -.0294039    .0740494
                  32  |  -.0157481   .0133855    -1.18   0.240    -.0420283     .010532
                  33  |  -.0049749    .008771    -0.57   0.571    -.0221952    .0122454
                  34  |  -.0223955   .0125844    -1.78   0.076    -.0471029    .0023118
                  35  |  -.0360506   .0102484    -3.52   0.000    -.0561716   -.0159296
                  36  |  -.0007941   .0081585    -0.10   0.922    -.0168119    .0152237
                  37  |  -.0094902    .010672    -0.89   0.374    -.0304427    .0114624
                  38  |   .0339334   .0173259     1.96   0.051    -.0000829    .0679497
                  39  |  -.0195628   .0098361    -1.99   0.047    -.0388742   -.0002513
                  40  |  -.0187669   .0148702    -1.26   0.207    -.0479619    .0104281
                  41  |  -.0055161   .0120628    -0.46   0.648    -.0291992    .0181671
                  42  |  -.0181855   .0088847    -2.05   0.041     -.035629    -.000742
                  44  |  -.0290265   .0070652    -4.11   0.000    -.0428978   -.0151551
                  45  |   .0155665   .0142793     1.09   0.276    -.0124685    .0436015
                  46  |   .0004724   .0272823     0.02   0.986    -.0530917    .0540365
                  47  |  -.0171937   .0129607    -1.33   0.185    -.0426397    .0082523
                  48  |   -.009491   .0084784    -1.12   0.263    -.0261368    .0071549
                  49  |   .0323385   .0080057     4.04   0.000     .0166208    .0480562
                  50  |  -.0099222   .0147332    -0.67   0.501    -.0388483    .0190039
                  51  |  -.0129364   .0097599    -1.33   0.185    -.0320981    .0062254
                  53  |  -.0029286    .009916    -0.30   0.768    -.0223969    .0165397
                  54  |  -.0342082   .0125809    -2.72   0.007    -.0589086   -.0095078
                  55  |  -.0119555   .0108693    -1.10   0.272    -.0332953    .0093844
                  56  |   .0136715   .0221738     0.62   0.538    -.0298629    .0572058
                      |
                 year |
                2018  |   .0027232   .0022855     1.19   0.234    -.0017639    .0072104
                2020  |  -.0216697   .0021667   -10.00   0.000    -.0259236   -.0174158
                      |
       emergency_room |   .0091889   .0024061     3.82   0.000     .0044648    .0139129
                _cons |   .2005769   .0265383     7.56   0.000     .1484736    .2526802
---------------------------------------------------------------------------------------
(est8 stored)

.         
. esttab using "TableA16.tex", label keep(dist_st_ideo5_3 st_mean_ideo5_3 dist_cz_ideo5_3 cz_mean_ide
> o5_3 ideo5_3 fb_share age female college hs citizen_dum income_100k income_50k nohealthinsurance_du
> m log_blood L1_firearm_death_rate incarcerated_rate emergency_room) order(dist_st_ideo5_3 st_mean_i
> deo5_3 dist_cz_ideo5_3 cz_mean_ideo5_3 ideo5_3 fb_share age female college hs citizen_dum income_10
> 0k income_50k nohealthinsurance_dum log_blood L1_firearm_death_rate incarcerated_rate emergency_roo
> m) nonotes se(3) b(3) replace star(+ 0.10 * 0.05 ** 0.01) compress nogaps nodepvars indicate("State
>  FE = *state*") 
(output written to TableA16.tex)

. 
. ****************************************
. ********  Tables A3, A4, and A8 ******** 
. ****************************************
. 
. use "KimPelc_Blood_Respondi_PoP.dta", clear

. 
. * Table A3: Summary Statistics, Original Survey
. 
. eststo clear

. areg blood political_minority race_minority ideology college hs female age income_100k income_50k c
> itizen_us white black asian hispanic log_center firearm_death_rate incarcerated_rate, cluster(state
> ) abs(state)

Linear regression, absorbing indicators         Number of obs     =      3,369
Absorbed variable: state                        No. of categories =         50
                                                F(  17,     49)   =      46.22
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1019
                                                Adj R-squared     =     0.0840
                                                Root MSE          =     3.1225

                                       (Std. Err. adjusted for 50 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.1355364   .0263819    -5.14   0.000    -.1885528     -.08252
     race_minority |   .0292644   .0317104     0.92   0.361    -.0344599    .0929888
          ideology |  -.0219168   .0249631    -0.88   0.384     -.072082    .0282483
      college_grad |   1.997816   .3500091     5.71   0.000     1.294446    2.701186
                hs |   1.418732   .3285828     4.32   0.000     .7584197    2.079043
            female |  -.2219325   .0810083    -2.74   0.009    -.3847248   -.0591403
               age |  -.0470528   .0039951   -11.78   0.000    -.0550813   -.0390243
       income_100k |   .5340894   .1369762     3.90   0.000     .2588255    .8093534
        income_50k |    .298868   .1207717     2.47   0.017     .0561681    .5415679
        citizen_us |   .2805463   .1381474     2.03   0.048     .0029288    .5581639
             white |   .2029725   .2456576     0.83   0.413     -.290695      .69664
             black |  -.1999553   .2921135    -0.68   0.497    -.7869793    .3870687
             asian |  -.2296271   .3077611    -0.75   0.459    -.8480961     .388842
          hispanic |   .0684595   .2179881     0.31   0.755     -.369604    .5065229
        log_center |   .0429588     .08291     0.52   0.607    -.1236551    .2095727
firearm_death_rate |   .0856265   .0611906     1.40   0.168    -.0373407    .2085936
 incarcerated_rate |   5.262661   3.725984     1.41   0.164    -2.224984    12.75031
             _cons |   3.727629   .4485725     8.31   0.000     2.826189     4.62907
------------------------------------------------------------------------------------

. estpost summarize blood political_minority race_minority ideology college hs female age income_100k
>  income_50k citizen_us white black asian hispanic log_center firearm_death_rate incarcerated_rate i
> f e(sample)

             |  e(count)   e(sum_w)    e(mean)     e(Var)      e(sd)     e(min)     e(max) 
-------------+-----------------------------------------------------------------------------
blood_dona~n |      3369       3369   3.137133    10.6439   3.262499          0         10 
political~ty |      3369       3369   3.894331    5.68123   2.383533          0         10 
race_minor~y |      3369       3369   2.786287   5.054076   2.248127          0         10 
    ideology |      3369       3369   5.186702   7.537875   2.745519          0         10 
college_grad |      3369       3369   .5802909   .2436257   .4935845          0          1 
          hs |      3369       3369   .4042743   .2409081   .4908239          0          1 
      female |      3369       3369   .5191451   .2497076   .4997075          0          1 
         age |      3369       3369   48.89285   295.8344   17.19984         18         94 
 income_100k |      3369       3369    .215791   .1692755   .4114311          0          1 
  income_50k |      3369       3369   .3499555   .2275542   .4770264          0          1 
  citizen_us |      3369       3369   .7373108   .1937411   .4401603          0          1 
       white |      3369       3369   .8076581   .1553926   .3941987          0          1 
       black |      3369       3369   .0750965   .0694776   .2635861          0          1 
       asian |      3369       3369   .0685663    .063884   .2527528          0          1 
    hispanic |      3369       3369   .0587711   .0553335   .2352308          0          1 
  log_center |      3369       3369   .9859596   .6518552   .8073755          0   2.944439 
firearm_de~e |      3369       3369   .2272444   .8957912   .9464625          0   10.07108 
incarcerat~e |      3369       3369   .0050643   .0001594   .0126249          0   .2781856 

             |    e(sum) 
-------------+-----------
blood_dona~n |     10569 
political~ty |     13120 
race_minor~y |      9387 
    ideology |     17474 
college_grad |      1955 
          hs |      1362 
      female |      1749 
         age |    164720 
 income_100k |       727 
  income_50k |      1179 
  citizen_us |      2484 
       white |      2721 
       black |       253 
       asian |       231 
    hispanic |       198 
  log_center |  3321.698 
firearm_de~e |  765.5865 
incarcerat~e |  17.06165 

. esttab using "TableA3.tex", cells("mean(fmt(2)) sd min max") nomtitle nonumber noobs label replace
(output written to TableA3.tex)

. 
. * Table A4: Correlation Table, Original Survey
. eststo clear

. areg blood political_minority race_minority ideology college hs female age income_100k income_50k c
> itizen_us white black asian hispanic log_center firearm_death_rate incarcerated_rate, cluster(state
> ) abs(state)

Linear regression, absorbing indicators         Number of obs     =      3,369
Absorbed variable: state                        No. of categories =         50
                                                F(  17,     49)   =      46.22
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1019
                                                Adj R-squared     =     0.0840
                                                Root MSE          =     3.1225

                                       (Std. Err. adjusted for 50 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.1355364   .0263819    -5.14   0.000    -.1885528     -.08252
     race_minority |   .0292644   .0317104     0.92   0.361    -.0344599    .0929888
          ideology |  -.0219168   .0249631    -0.88   0.384     -.072082    .0282483
      college_grad |   1.997816   .3500091     5.71   0.000     1.294446    2.701186
                hs |   1.418732   .3285828     4.32   0.000     .7584197    2.079043
            female |  -.2219325   .0810083    -2.74   0.009    -.3847248   -.0591403
               age |  -.0470528   .0039951   -11.78   0.000    -.0550813   -.0390243
       income_100k |   .5340894   .1369762     3.90   0.000     .2588255    .8093534
        income_50k |    .298868   .1207717     2.47   0.017     .0561681    .5415679
        citizen_us |   .2805463   .1381474     2.03   0.048     .0029288    .5581639
             white |   .2029725   .2456576     0.83   0.413     -.290695      .69664
             black |  -.1999553   .2921135    -0.68   0.497    -.7869793    .3870687
             asian |  -.2296271   .3077611    -0.75   0.459    -.8480961     .388842
          hispanic |   .0684595   .2179881     0.31   0.755     -.369604    .5065229
        log_center |   .0429588     .08291     0.52   0.607    -.1236551    .2095727
firearm_death_rate |   .0856265   .0611906     1.40   0.168    -.0373407    .2085936
 incarcerated_rate |   5.262661   3.725984     1.41   0.164    -2.224984    12.75031
             _cons |   3.727629   .4485725     8.31   0.000     2.826189     4.62907
------------------------------------------------------------------------------------

. estpost correlate blood political_minority race_minority ideology college hs female age income_100k
>  income_50k citizen_us white black asian hispanic log_center firearm_death_rate incarcerated_rate i
> f e(sample), matrix listwise

             |      e(b)     e(rho)       e(p)   e(count) 
-------------+--------------------------------------------
blood_dona~n |                                            
blood_dona~n |         1          1                  3369 
political~ty | -.0971796  -.0971796   1.59e-08       3369 
race_minor~y | -.0031683  -.0031683   .8541484       3369 
    ideology |  -.014925   -.014925   .3864807       3369 
college_grad |  .0995483   .0995483   7.02e-09       3369 
          hs | -.0843234  -.0843234   9.52e-07       3369 
      female | -.0320252  -.0320252   .0630798       3369 
         age | -.2206769  -.2206769   1.95e-38       3369 
 income_100k |  .0754958   .0754958   .0000115       3369 
  income_50k |  .0271521   .0271521    .115096       3369 
  citizen_us |  .0029696   .0029696   .8632019       3369 
       white | -.0014171  -.0014171   .9344713       3369 
       black |  -.009562   -.009562   .5790205       3369 
       asian |  .0101979   .0101979   .5540424       3369 
    hispanic |  .0525576   .0525576   .0022764       3369 
  log_center |  .0298738   .0298738   .0829695       3369 
firearm_de~e |  .0276466   .0276466   .1086253       3369 
incarcerat~e |  .0195215   .0195215    .257308       3369 
political~ty |                                            
political~ty |         1          1                  3369 
race_minor~y |  .2235736   .2235736   1.97e-39       3369 
    ideology | -.1906749  -.1906749   5.99e-29       3369 
college_grad | -.0276139  -.0276139   .1090435       3369 
          hs |  .0098781   .0098781   .5665398       3369 
      female | -.0282148  -.0282148   .1015484       3369 
         age | -.0565642  -.0565642   .0010214       3369 
 income_100k | -.0715072  -.0715072   .0000326       3369 
  income_50k | -.0251775  -.0251775   .1439963       3369 
  citizen_us | -.1727802  -.1727802   5.47e-24       3369 
       white | -.0045737  -.0045737   .7907189       3369 
       black | -.0317891  -.0317891   .0650496       3369 
       asian |   .003159    .003159   .8545723       3369 
    hispanic | -.0201642  -.0201642   .2419703       3369 
  log_center | -.0364054  -.0364054   .0346012       3369 
firearm_de~e | -.0115472  -.0115472   .5028512       3369 
incarcerat~e | -.0132281  -.0132281    .442754       3369 
race_minor~y |                                            
race_minor~y |         1          1                  3369 
    ideology |  .0157986   .0157986   .3592901       3369 
college_grad |  .0368744   .0368744   .0323358       3369 
          hs | -.0376503  -.0376503   .0288664       3369 
      female | -.0708884  -.0708884   .0000382       3369 
         age | -.0163336  -.0163336   .3432507       3369 
 income_100k | -.0140055  -.0140055   .4164115       3369 
  income_50k |   .020479    .020479    .234697       3369 
  citizen_us | -.0408479  -.0408479   .0177377       3369 
       white | -.2470846  -.2470846   4.86e-48       3369 
       black |  .0471339   .0471339   .0062134       3369 
       asian |  .2395109   .2395109   3.66e-45       3369 
    hispanic |  .0254423   .0254423    .139825       3369 
  log_center |  .0977525   .0977525   1.31e-08       3369 
firearm_de~e |  .0080645   .0080645   .6398421       3369 
incarcerat~e |  .0098729   .0098729   .5667419       3369 
ideology     |                                            
    ideology |         1          1                  3369 
college_grad | -.0582812  -.0582812   .0007132       3369 
          hs |  .0638327   .0638327   .0002094       3369 
      female | -.0395049  -.0395049   .0218462       3369 
         age |  .1570332   .1570332   4.81e-20       3369 
 income_100k | -.0022953  -.0022953   .8940513       3369 
  income_50k |  .0512077   .0512077   .0029481       3369 
  citizen_us |  .2968539   .2968539   1.65e-69       3369 
       white |  .0984832   .0984832   1.02e-08       3369 
       black | -.0899481  -.0899481   1.70e-07       3369 
       asian | -.0257268  -.0257268   .1354486       3369 
    hispanic | -.0261899  -.0261899   .1285521       3369 
  log_center | -.0769374  -.0769374   7.80e-06       3369 
firearm_de~e |  .0023769   .0023769     .89031       3369 
incarcerat~e |  .0308533   .0308533     .07336       3369 
college_grad |                                            
college_grad |         1          1                  3369 
          hs | -.9686426  -.9686426          0       3369 
      female | -.0444545  -.0444545   .0098631       3369 
         age |  .0531421   .0531421   .0020317       3369 
 income_100k |  .2472784   .2472784   4.09e-48       3369 
  income_50k |  .0817612   .0817612   2.02e-06       3369 
  citizen_us | -.0429708  -.0429708   .0126176       3369 
       white | -.0121644  -.0121644   .4802972       3369 
       black | -.0474997  -.0474997   .0058234       3369 
       asian |   .111746    .111746   7.82e-11       3369 
    hispanic |  .0079336   .0079336   .6452813       3369 
  log_center |   .040667    .040667   .0182484       3369 
firearm_de~e | -.0005417  -.0005417   .9749254       3369 
incarcerat~e | -.0350505  -.0350505   .0419205       3369 
hs           |                                            
          hs |         1          1                  3369 
      female |  .0410674   .0410674   .0171349       3369 
         age | -.0381619  -.0381619   .0267586       3369 
 income_100k | -.2365817  -.2365817   4.47e-44       3369 
  income_50k | -.0654848  -.0654848   .0001426       3369 
  citizen_us |   .047803    .047803    .005517       3369 
       white |  .0229721   .0229721   .1825144       3369 
       black |   .026894    .026894   .1185909       3369 
       asian | -.1062345  -.1062345   6.35e-10       3369 
    hispanic | -.0052623  -.0052623   .7601142       3369 
  log_center | -.0463486  -.0463486    .007131       3369 
firearm_de~e | -.0038943  -.0038943    .821236       3369 
incarcerat~e |  .0378645   .0378645   .0279674       3369 
female       |                                            
      female |         1          1                  3369 
         age | -.0350837  -.0350837   .0417265       3369 
 income_100k | -.0641474  -.0641474   .0001947       3369 
  income_50k | -.0225102  -.0225102   .1914706       3369 
  citizen_us | -.0776955  -.0776955   6.34e-06       3369 
       white |  .0036266   .0036266   .8333376       3369 
       black |  .0059877   .0059877   .7282749       3369 
       asian | -.0374307  -.0374307   .0298142       3369 
    hispanic | -.0095751  -.0095751   .5785029       3369 
  log_center | -.0428251  -.0428251   .0129217       3369 
firearm_de~e |  .0033552   .0033552   .8456465       3369 
incarcerat~e |   .001958    .001958   .9095493       3369 
age          |                                            
         age |         1          1                  3369 
 income_100k |  .0111984   .0111984   .5158415       3369 
  income_50k |  .0243302   .0243302   .1579834       3369 
  citizen_us |  .2367696   .2367696   3.81e-44       3369 
       white |  .1804013   .1804013   4.88e-26       3369 
       black | -.0836247  -.0836247   1.17e-06       3369 
       asian | -.1014394  -.1014394   3.62e-09       3369 
    hispanic | -.1460944  -.1460944   1.56e-17       3369 
  log_center | -.0524605  -.0524605   .0023196       3369 
firearm_de~e | -.0090034  -.0090034   .6013897       3369 
incarcerat~e |  .0110533   .0110533   .5212976       3369 
income_100k  |                                            
 income_100k |         1          1                  3369 
  income_50k | -.3848891  -.3848891   2.1e-119       3369 
  citizen_us |  .0491451   .0491451   .0043282       3369 
       white | -.0167827  -.0167827   .3301421       3369 
       black |  -.042697   -.042697   .0131945       3369 
       asian |  .1060768   .1060768   6.74e-10       3369 
    hispanic | -.0267721  -.0267721   .1202705       3369 
  log_center |  .0626835   .0626835    .000272       3369 
firearm_de~e |  .0004652   .0004652   .9784686       3369 
incarcerat~e | -.0574654  -.0574654   .0008469       3369 
income_50k   |                                            
  income_50k |         1          1                  3369 
  citizen_us |  .0236302   .0236302   .1702971       3369 
       white |  .0343757   .0343757   .0460297       3369 
       black | -.0036335  -.0036335   .8330255       3369 
       asian | -.0094556  -.0094556   .5832524       3369 
    hispanic | -.0140005  -.0140005   .4165783       3369 
  log_center | -.0340366  -.0340366   .0482194       3369 
firearm_de~e | -.0094253  -.0094253   .5844612       3369 
incarcerat~e |  .0158311   .0158311   .3583024       3369 
citizen_us   |                                            
  citizen_us |         1          1                  3369 
       white |  .1074249   .1074249   4.08e-10       3369 
       black | -.0269724  -.0269724   .1175206       3369 
       asian | -.0729092  -.0729092   .0000228       3369 
    hispanic | -.0056995  -.0056995   .7408734       3369 
  log_center | -.0289217  -.0289217   .0932623       3369 
firearm_de~e |  .0172533   .0172533     .31676       3369 
incarcerat~e |  .0265565   .0265565   .1232873       3369 
white        |                                            
       white |         1          1                  3369 
       black | -.5838998  -.5838998   3.4e-307       3369 
       asian | -.5559763  -.5559763   1.1e-272       3369 
    hispanic |  .1219432   .1219432   1.23e-12       3369 
  log_center | -.1650405  -.1650405   5.31e-22       3369 
firearm_de~e | -.0460835  -.0460835   .0074672       3369 
incarcerat~e |  .0108213   .0108213   .5300787       3369 
black        |                                            
       black |         1          1                  3369 
       asian |  -.077311   -.077311   7.04e-06       3369 
    hispanic | -.0712026  -.0712026   .0000353       3369 
  log_center |   .055482    .055482   .0012746       3369 
firearm_de~e |  .0416166   .0416166   .0157047       3369 
incarcerat~e | -.0021144  -.0021144   .9023576       3369 
asian        |                                            
       asian |         1          1                  3369 
    hispanic | -.0677975  -.0677975   .0000821       3369 
  log_center |  .1318646   .1318646   1.54e-14       3369 
firearm_de~e |  .0204671   .0204671   .2349683       3369 
incarcerat~e | -.0207357  -.0207357    .228881       3369 
hispanic     |                                            
    hispanic |         1          1                  3369 
  log_center |  .1000477   .1000477   5.90e-09       3369 
firearm_de~e |  .0021695   .0021695   .8998289       3369 
incarcerat~e | -.0002324  -.0002324   .9892415       3369 
log_center   |                                            
  log_center |         1          1                  3369 
firearm_de~e |  .1018428   .1018428   3.13e-09       3369 
incarcerat~e | -.1969582  -.1969582   8.19e-31       3369 
firearm_de~e |                                            
firearm_de~e |         1          1                  3369 
incarcerat~e |  -.019245   -.019245   .2641115       3369 
incarcerat~e |                                            
incarcerat~e |         1          1                  3369 

. esttab using "TableA4.tex", unstack not noobs compress  label nomtitle nonumber replace b(2) 
(output written to TableA4.tex)

. 
. * Table A8: Interaction Effects of Social Diversity and Age: Respondi Survey
. 
. gen age_pol = age*political_minority

. label var age_pol "Self-perception as political minority*Age"

. 
. gen age_race = age*race_minority

. label var age_race "Self-perception as racial minority*Age"

. 
. eststo clear 

. eststo: reg blood political_minority age age_pol  log_center firearm_death_rate incarcerated_rate ,
>  cluster(state)

Linear regression                               Number of obs     =      3,489
                                                F(6, 49)          =      38.14
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0612
                                                Root MSE          =      3.152

                                       (Std. Err. adjusted for 50 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |   -.311618   .0706752    -4.41   0.000    -.4536453   -.1695908
               age |  -.0558831   .0059587    -9.38   0.000    -.0678575   -.0439086
           age_pol |   .0035699   .0011392     3.13   0.003     .0012807    .0058591
        log_center |   .0539914   .0975641     0.55   0.583    -.1420709    .2500537
firearm_death_rate |   .0658825   .0635251     1.04   0.305    -.0617761     .193541
 incarcerated_rate |   5.163979   3.865394     1.34   0.188    -2.603822    12.93178
             _cons |   6.295819    .409558    15.37   0.000     5.472782    7.118857
------------------------------------------------------------------------------------
(est1 stored)

. eststo: reg blood race_minority age  age_race log_center firearm_death_rate incarcerated_rate , clu
> ster(state)

Linear regression                               Number of obs     =      3,489
                                                F(6, 49)          =      35.55
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0491
                                                Root MSE          =     3.1724

                                       (Std. Err. adjusted for 50 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
     race_minority |  -.1139753   .0650882    -1.75   0.086    -.2447748    .0168243
               age |  -.0463106   .0049122    -9.43   0.000    -.0561819   -.0364392
          age_race |   .0021277   .0010835     1.96   0.055    -.0000497     .004305
        log_center |   .0752444   .0866242     0.87   0.389    -.0988335    .2493223
firearm_death_rate |   .0718313   .0652021     1.10   0.276    -.0591972    .2028599
 incarcerated_rate |   5.530679   3.983626     1.39   0.171    -2.474718    13.53608
             _cons |   5.287386     .32894    16.07   0.000     4.626357    5.948416
------------------------------------------------------------------------------------
(est2 stored)

. eststo: reg blood political_minority race_minority age age_pol age_race log_center firearm_death_ra
> te incarcerated_rate , cluster(state)

Linear regression                               Number of obs     =      3,489
                                                F(8, 49)          =      28.39
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0618
                                                Root MSE          =      3.152

                                       (Std. Err. adjusted for 50 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.2994321   .0680286    -4.40   0.000    -.4361406   -.1627236
     race_minority |  -.0599067   .0660136    -0.91   0.369     -.192566    .0727526
               age |  -.0590433   .0068448    -8.63   0.000    -.0727984   -.0452881
           age_pol |   .0031955   .0011422     2.80   0.007     .0009002    .0054909
          age_race |   .0017196   .0011352     1.51   0.136    -.0005616    .0040008
        log_center |   .0450355    .094719     0.48   0.637    -.1453095    .2353805
firearm_death_rate |   .0648187   .0635658     1.02   0.313    -.0629217     .192559
 incarcerated_rate |     4.8022   3.927621     1.22   0.227    -3.090649    12.69505
             _cons |    6.41773   .4782859    13.42   0.000     5.456578    7.378881
------------------------------------------------------------------------------------
(est3 stored)

. eststo: reg blood political_minority race_minority age age_pol age_race ideology college hs female 
>  citizen_us white black asian hispanic log_center firearm_death_rate incarcerated_rate , cluster(st
> ate)

Linear regression                               Number of obs     =      3,489
                                                F(17, 49)         =      56.53
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0815
                                                Root MSE          =     3.1227

                                       (Std. Err. adjusted for 50 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.2444524   .0663108    -3.69   0.001    -.3777089    -.111196
     race_minority |  -.0545979   .0687781    -0.79   0.431    -.1928126    .0836168
               age |   -.060887   .0071384    -8.53   0.000    -.0752322   -.0465418
           age_pol |   .0023073   .0011091     2.08   0.043     .0000786    .0045361
          age_race |   .0017643   .0011954     1.48   0.146    -.0006379    .0041664
          ideology |  -.0114652   .0233652    -0.49   0.626    -.0584194    .0354889
      college_grad |   2.118294   .3075495     6.89   0.000      1.50025    2.736337
                hs |    1.45602   .2913219     5.00   0.000     .8705863    2.041453
            female |  -.1823973   .0832242    -2.19   0.033    -.3496426   -.0151519
        citizen_us |   .3347876   .1240427     2.70   0.010     .0855144    .5840608
             white |   .2035589   .2348372     0.87   0.390    -.2683642    .6754819
             black |  -.1818977   .2694057    -0.68   0.503    -.7232888    .3594934
             asian |  -.2443026   .2853717    -0.86   0.396    -.8177785    .3291732
          hispanic |   .1003261   .2158243     0.46   0.644    -.3333892    .5340413
        log_center |   .0535511   .0907817     0.59   0.558    -.1288816    .2359837
firearm_death_rate |   .0719104   .0657362     1.09   0.279    -.0601915    .2040123
 incarcerated_rate |   5.314203   3.801962     1.40   0.168    -2.326126    12.95453
             _cons |   4.383011    .549516     7.98   0.000     3.278717    5.487305
------------------------------------------------------------------------------------
(est4 stored)

. eststo: reg blood political_minority race_minority age age_pol age_race ideology college hs female 
>  income_100k income_50k citizen_us white black asian hispanic log_center firearm_death_rate incarce
> rated_rate , cluster(state)

Linear regression                               Number of obs     =      3,369
                                                F(19, 49)         =      64.74
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0872
                                                Root MSE          =     3.1258

                                       (Std. Err. adjusted for 50 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.2516663   .0697506    -3.61   0.001    -.3918354   -.1114972
     race_minority |  -.0471514   .0746877    -0.63   0.531     -.197242    .1029392
               age |  -.0611499   .0078159    -7.82   0.000    -.0768564   -.0454433
           age_pol |   .0023908   .0011834     2.02   0.049     .0000127    .0047688
          age_race |   .0016577   .0012944     1.28   0.206    -.0009434    .0042588
          ideology |  -.0106292   .0240035    -0.44   0.660    -.0588661    .0376077
      college_grad |   1.850525   .3426755     5.40   0.000     1.161893    2.539157
                hs |   1.299445   .3227808     4.03   0.000     .6507926    1.948097
            female |  -.1920665   .0776022    -2.48   0.017    -.3480139   -.0361191
       income_100k |    .499594   .1253543     3.99   0.000     .2476851     .751503
        income_50k |   .2899131   .1205289     2.41   0.020     .0477013     .532125
        citizen_us |   .2852202   .1378124     2.07   0.044     .0082759    .5621645
             white |   .2150676   .2405402     0.89   0.376    -.2683161    .6984512
             black |  -.1394988   .2853008    -0.49   0.627    -.7128322    .4338346
             asian |  -.2995917   .2974508    -1.01   0.319    -.8973414     .298158
          hispanic |    .111049   .2140444     0.52   0.606    -.3190893    .5411873
        log_center |   .0591549   .0877482     0.67   0.503    -.1171818    .2354915
firearm_death_rate |   .0852641   .0657802     1.30   0.201    -.0469262    .2174544
 incarcerated_rate |   7.090506   3.873249     1.83   0.073    -.6930792    14.87409
             _cons |   4.437212   .5865394     7.57   0.000     3.258517    5.615907
------------------------------------------------------------------------------------
(est5 stored)

. eststo: xi:reg blood political_minority race_minority age age_pol age_race ideology college hs fema
> le income_100k income_50k citizen_us white black asian hispanic log_center firearm_death_rate incar
> cerated_rate i.state, cluster(state)
i.state           _Istate_1-50        (_Istate_1 for state==Alabama omitted)

Linear regression                               Number of obs     =      3,369
                                                F(18, 49)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1034
                                                Root MSE          =     3.1209

                                       (Std. Err. adjusted for 50 clusters in state)
------------------------------------------------------------------------------------
                   |               Robust
    blood_donation |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
political_minority |  -.2474855    .071488    -3.46   0.001    -.3911461    -.103825
     race_minority |  -.0539358   .0757703    -0.71   0.480    -.2062018    .0983303
               age |  -.0605479   .0080485    -7.52   0.000     -.076722   -.0443738
           age_pol |   .0023056   .0011859     1.94   0.058    -.0000775    .0046887
          age_race |   .0017389    .001309     1.33   0.190    -.0008917    .0043694
          ideology |  -.0210237   .0248962    -0.84   0.403    -.0710545    .0290072
      college_grad |   1.951171   .3499026     5.58   0.000     1.248015    2.654326
                hs |   1.382788   .3298259     4.19   0.000     .7199783    2.045598
            female |  -.2166389   .0811162    -2.67   0.010    -.3796481   -.0536297
       income_100k |   .5287042   .1358551     3.89   0.000     .2556932    .8017153
        income_50k |   .2982123    .121269     2.46   0.018     .0545131    .5419116
        citizen_us |   .2717287   .1408724     1.93   0.060     -.011365    .5548224
             white |   .1744066   .2415355     0.72   0.474    -.3109772    .6597905
             black |   -.223534   .2825437    -0.79   0.433    -.7913269    .3442589
             asian |  -.2385454   .3038075    -0.79   0.436    -.8490694    .3719787
          hispanic |   .0863847   .2169326     0.40   0.692    -.3495576    .5223271
        log_center |   .0406055   .0846041     0.48   0.633    -.1294128    .2106238
firearm_death_rate |   .0835227   .0608253     1.37   0.176    -.0387103    .2057556
 incarcerated_rate |   5.078438   3.727132     1.36   0.179    -2.411515    12.56839
         _Istate_2 |  -2.831655   .1480608   -19.12   0.000    -3.129194   -2.534116
         _Istate_3 |  -.1459064   .1387743    -1.05   0.298    -.4247839     .132971
         _Istate_4 |   .5142489   .0817509     6.29   0.000     .3499643    .6785335
         _Istate_5 |  -.6868561    .161246    -4.26   0.000    -1.010892   -.3628201
         _Istate_6 |  -.3621601   .0879557    -4.12   0.000    -.5389136   -.1854065
         _Istate_7 |  -.7614252   .0878226    -8.67   0.000    -.9379114   -.5849389
         _Istate_8 |  -1.827936    .099567   -18.36   0.000    -2.028024   -1.627849
         _Istate_9 |   -.249532   .0985918    -2.53   0.015    -.4476596   -.0514043
        _Istate_10 |  -.1698855    .090903    -1.87   0.068    -.3525619    .0127908
        _Istate_11 |  -.5100377    .189503    -2.69   0.010    -.8908582   -.1292173
        _Istate_12 |  -.4208371   .0877759    -4.79   0.000    -.5972294   -.2444448
        _Istate_13 |  -.4361926   .1608181    -2.71   0.009    -.7593686   -.1130166
        _Istate_14 |  -.4497795   .0553429    -8.13   0.000    -.5609952   -.3385637
        _Istate_15 |  -.9453635   .0853133   -11.08   0.000    -1.116807     -.77392
        _Istate_16 |  -.8019118   .0823122    -9.74   0.000    -.9673244   -.6364992
        _Istate_17 |  -.5130919   .0824813    -6.22   0.000    -.6788443   -.3473395
        _Istate_18 |   .4237804   .0830162     5.10   0.000      .256953    .5906078
        _Istate_19 |  -.2997811   .0917435    -3.27   0.002    -.4841465   -.1154157
        _Istate_20 |  -.3635592   .1089987    -3.34   0.002    -.5826001   -.1445182
        _Istate_21 |  -.7484565   .1048235    -7.14   0.000    -.9591073   -.5378058
        _Istate_22 |  -.8456486   .0852271    -9.92   0.000    -1.016919   -.6743783
        _Istate_23 |  -1.100433   .1100827   -10.00   0.000    -1.321653   -.8792138
        _Istate_24 |   .9928689   .0678085    14.64   0.000     .8566026    1.129135
        _Istate_25 |    -.80489   .0997824    -8.07   0.000     -1.00541   -.6043697
        _Istate_26 |  -.7710798   .0997147    -7.73   0.000    -.9714639   -.5706956
        _Istate_27 |  -.8770093   .0990139    -8.86   0.000    -1.075985   -.6780335
        _Istate_28 |   .2271818   .1221317     1.86   0.069    -.0182511    .4726147
        _Istate_29 |   .0166938   .0916113     0.18   0.856    -.1674059    .2007936
        _Istate_30 |  -.7571225   .0899771    -8.41   0.000    -.9379382   -.5763068
        _Istate_31 |  -1.074234   .1089207    -9.86   0.000    -1.293118   -.8553495
        _Istate_32 |  -.6955614   .1029201    -6.76   0.000    -.9023872   -.4887357
        _Istate_33 |  -1.201447   .0472506   -25.43   0.000    -1.296401   -1.106494
        _Istate_34 |   1.605846    .107828    14.89   0.000     1.389158    1.822535
        _Istate_35 |  -.6558633   .0817288    -8.02   0.000    -.8201035   -.4916231
        _Istate_36 |  -.4386763   .0717716    -6.11   0.000    -.5829066    -.294446
        _Istate_37 |  -.6530344   .0872401    -7.49   0.000      -.82835   -.4777187
        _Istate_38 |  -.5329076   .0926458    -5.75   0.000    -.7190863   -.3467289
        _Istate_39 |  -1.303313    .090364   -14.42   0.000    -1.484906   -1.121719
        _Istate_40 |   .4104431   .0430427     9.54   0.000     .3239456    .4969406
        _Istate_41 |    .819523   .1723232     4.76   0.000     .4732266    1.165819
        _Istate_42 |  -.3742582   .0719281    -5.20   0.000    -.5188032   -.2297132
        _Istate_43 |  -.3170227   .1260477    -2.52   0.015    -.5703251   -.0637203
        _Istate_44 |   .1288045   .0926851     1.39   0.171    -.0574532    .3150622
        _Istate_45 |   .3508947   .1147577     3.06   0.004     .1202804    .5815089
        _Istate_46 |  -.6948341   .0670567   -10.36   0.000    -.8295895   -.5600787
        _Istate_47 |  -.9770906   .1212719    -8.06   0.000    -1.220796   -.7333856
        _Istate_48 |   .0084386    .083324     0.10   0.920    -.1590072    .1758844
        _Istate_49 |  -1.180618   .0677754   -17.42   0.000    -1.316818   -1.044418
        _Istate_50 |  -1.047106   .1283413    -8.16   0.000    -1.305017   -.7891942
             _cons |   4.967579   .6041418     8.22   0.000      3.75351    6.181647
------------------------------------------------------------------------------------
(est6 stored)

. 
. esttab using "TableA8.tex", label keep(political_minority race_minority age age_pol age_race ideolo
> gy college hs female age income_100k income_50k citizen_us white black asian hispanic log_center fi
> rearm_death_rate incarcerated_rate ) order(political_minority race_minority age age_pol age_race  i
> deology college hs female income_100k income_50k citizen_us white black asian hispanic log_center f
> irearm_death_rate incarcerated_rate )  nonotes se(3) b(3) replace  star(+ 0.10 * 0.05 ** 0.01)  com
> press nogaps nodepvar // addnotes("Standard errors in parentheses." 
(output written to TableA8.tex)

. 
. ***********************************
. ********  Table A9 and A10 ******** 
. ***********************************
. 
. * Table A9: Donation Centers (County)
. 
. use "blood_centers_cty.dta", replace

. 
. eststo clear

. 
. eststo: regress log_center trump_share log_population female_share black_share asian_share hispanic
> _share, cluster(state)

Linear regression                               Number of obs     =      3,108
                                                F(6, 48)          =      34.93
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4387
                                                Root MSE          =     .27201

                                   (Std. Err. adjusted for 49 clusters in state)
--------------------------------------------------------------------------------
               |               Robust
    log_center |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
   trump_share |  -.0008417   .0007468    -1.13   0.265    -.0023431    .0006598
log_population |   .1198787    .015366     7.80   0.000     .0889833    .1507741
  female_share |  -.0006213   .0025849    -0.24   0.811    -.0058185     .004576
   black_share |  -.0000762   .0005999    -0.13   0.899    -.0012824      .00113
   asian_share |   .0293852   .0074257     3.96   0.000     .0144548    .0443155
hispanic_share |   .0013588   .0004727     2.87   0.006     .0004084    .0023092
         _cons |  -1.058545   .2418962    -4.38   0.000     -1.54491   -.5721804
--------------------------------------------------------------------------------
(est1 stored)

. eststo: xi: regress log_center trump_share log_population female_share black_share asian_share hisp
> anic_share i.state, cluster(state)
i.state           _Istate_1-50        (_Istate_1 for state==Alabama omitted)
note: _Istate_8 omitted because of collinearity

Linear regression                               Number of obs     =      3,108
                                                F(5, 48)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.5146
                                                Root MSE          =     .25495

                                   (Std. Err. adjusted for 49 clusters in state)
--------------------------------------------------------------------------------
               |               Robust
    log_center |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
   trump_share |  -.0013632   .0009272    -1.47   0.148    -.0032276    .0005011
log_population |   .1274567   .0128928     9.89   0.000      .101534    .1533793
  female_share |   .0026393   .0035583     0.74   0.462    -.0045152    .0097939
   black_share |   .0013511   .0009276     1.46   0.152    -.0005139    .0032162
   asian_share |   .0386316   .0066387     5.82   0.000     .0252835    .0519797
hispanic_share |   .0002263   .0005816     0.39   0.699     -.000943    .0013956
     _Istate_2 |   -.034066    .032545    -1.05   0.300    -.0995021    .0313701
     _Istate_3 |   .0607464   .0136252     4.46   0.000     .0333511    .0881416
     _Istate_4 |   .0139472   .0598186     0.23   0.817    -.1063262    .1342206
     _Istate_5 |   .1553138   .0404661     3.84   0.000     .0739512    .2366763
     _Istate_6 |  -.0425934    .041401    -1.03   0.309    -.1258356    .0406488
     _Istate_7 |    .378292   .0300437    12.59   0.000     .3178851     .438699
     _Istate_8 |          0  (omitted)
     _Istate_9 |   .3759548   .0182792    20.57   0.000      .339202    .4127075
    _Istate_10 |   .0368288   .0093684     3.93   0.000     .0179925    .0556652
    _Istate_11 |  -1.162459   .2116001    -5.49   0.000     -1.58791   -.7370088
    _Istate_12 |   .1577207   .0277668     5.68   0.000     .1018918    .2135496
    _Istate_13 |   .1682975   .0255007     6.60   0.000     .1170249    .2195701
    _Istate_14 |    .025242    .023778     1.06   0.294    -.0225668    .0730508
    _Istate_15 |   .1726349   .0330552     5.22   0.000     .1061729    .2390969
    _Istate_16 |   .1820549    .031005     5.87   0.000     .1197151    .2443946
    _Istate_17 |   .0915689   .0233496     3.92   0.000     .0446215    .1385164
    _Istate_18 |   .1029183   .0051992    19.80   0.000     .0924647     .113372
    _Istate_19 |  -.0036297   .0381882    -0.10   0.925    -.0804123    .0731529
    _Istate_20 |  -.0599837   .0272608    -2.20   0.033    -.1147953   -.0051722
    _Istate_21 |   .1818381   .0519181     3.50   0.001     .0774498    .2862265
    _Istate_22 |   .0647111   .0295134     2.19   0.033     .0053703    .1240519
    _Istate_23 |   .0527785   .0348834     1.51   0.137    -.0173594    .1229163
    _Istate_24 |    .013221   .0102326     1.29   0.203    -.0073531    .0337951
    _Istate_25 |   .1340403   .0229811     5.83   0.000     .0878337    .1802469
    _Istate_26 |   .2575271   .0399396     6.45   0.000     .1772232     .337831
    _Istate_27 |   .2597283   .0348084     7.46   0.000     .1897414    .3297152
    _Istate_28 |   .1578226   .0318892     4.95   0.000     .0937052    .2219401
    _Istate_29 |   -.097539   .0411623    -2.37   0.022    -.1803013   -.0147767
    _Istate_30 |   -.222805   .0506388    -4.40   0.000    -.3246211    -.120989
    _Istate_31 |   .1086369   .0342726     3.17   0.003     .0397273    .1775464
    _Istate_32 |  -.0244764   .0342303    -0.72   0.478     -.093301    .0443482
    _Istate_33 |   -.094967   .0129155    -7.35   0.000    -.1209353   -.0689987
    _Istate_34 |   .2400939   .0407328     5.89   0.000     .1581952    .3219927
    _Istate_35 |  -.0177875   .0219977    -0.81   0.423    -.0620168    .0264418
    _Istate_36 |   .1233507   .0211854     5.82   0.000     .0807547    .1659467
    _Istate_37 |   .0090933   .0338065     0.27   0.789    -.0588793    .0770658
    _Istate_38 |   .1286219   .0243511     5.28   0.000     .0796607     .177583
    _Istate_39 |    .388708   .0442619     8.78   0.000     .2997134    .4777027
    _Istate_40 |  -.0034119   .0088621    -0.38   0.702    -.0212302    .0144065
    _Istate_41 |   .2429638   .0418826     5.80   0.000     .1587532    .3271744
    _Istate_42 |   .0982405    .016985     5.78   0.000     .0640899     .132391
    _Istate_43 |   .1688019   .0202646     8.33   0.000     .1280572    .2095465
    _Istate_44 |   .1131568   .0267582     4.23   0.000     .0593557    .1669578
    _Istate_45 |  -.0298858   .0523875    -0.57   0.571    -.1352179    .0754464
    _Istate_46 |  -.0360025   .0243027    -1.48   0.145    -.0848663    .0128614
    _Istate_47 |   .0275872   .0379836     0.73   0.471    -.0487839    .1039583
    _Istate_48 |   .0663046   .0247721     2.68   0.010     .0164971    .1161122
    _Istate_49 |   .0968832   .0347455     2.79   0.008     .0270227    .1667437
    _Istate_50 |   .1341864   .0281365     4.77   0.000     .0776143    .1907586
         _cons |  -1.373332   .3088177    -4.45   0.000    -1.994251    -.752412
--------------------------------------------------------------------------------
(est2 stored)

. 
. esttab using "TableA9.tex", label keep(log_population trump_share female_share black_share asian_sh
> are hispanic_share acs_median_age ) ///
>         order(log_population trump_share female_share black_share asian_share hispanic_share acs_me
> dian_age ) ///
>         nonotes se(3) b(3) replace star(+ 0.10 * 0.05 ** 0.01) compress nogaps nodepvars indicate("
> State FE = *state*") 
(output written to TableA9.tex)

. 
. * Table A10: Donation Centers (State)
.         
. use "blood_centers_st.dta", replace

. 
. eststo clear

. eststo: regress log_blood_center_n_st trump_share_st log_population_st acs_female_share_st acs_blac
> k_share_st acs_asian_share_st acs_hispanic_share_st 

      Source |       SS           df       MS      Number of obs   =        50
-------------+----------------------------------   F(6, 43)        =     31.47
       Model |  33.7660541         6  5.62767568   Prob > F        =    0.0000
    Residual |  7.69007298        43  .178838907   R-squared       =    0.8145
-------------+----------------------------------   Adj R-squared   =    0.7886
       Total |  41.4561271        49   .84604341   Root MSE        =    .42289

---------------------------------------------------------------------------------------
log_blood_center_n_st |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
       trump_share_st |   .0085029   .0160316     0.53   0.599    -.0238278    .0408336
    log_population_st |   .7984842      .0801     9.97   0.000     .6369471    .9600213
  acs_female_share_st |  -.0005393   .0240409    -0.02   0.982    -.0490225    .0479438
   acs_black_share_st |   .0033977   .0246861     0.14   0.891    -.0463865    .0531819
   acs_asian_share_st |  -.0048341   .0444368    -0.11   0.914    -.0944494    .0847812
acs_hispanic_share_st |   .0021013   .0122593     0.17   0.865     -.022622    .0268245
                _cons |  -9.909326    2.09084    -4.74   0.000    -14.12591   -5.692746
---------------------------------------------------------------------------------------
(est1 stored)

. eststo: regress log_blood_center_n_st st_var_ideo5_3 st_mean_ideo5_3 log_population_st acs_female_s
> hare_st acs_black_share_st acs_asian_share_st acs_hispanic_share_st 

      Source |       SS           df       MS      Number of obs   =        50
-------------+----------------------------------   F(7, 42)        =     27.09
       Model |  33.9384857         7   4.8483551   Prob > F        =    0.0000
    Residual |  7.51764141        42  .178991462   R-squared       =    0.8187
-------------+----------------------------------   Adj R-squared   =    0.7884
       Total |  41.4561271        49   .84604341   Root MSE        =    .42307

---------------------------------------------------------------------------------------
log_blood_center_n_st |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
       st_var_ideo5_3 |    -.65704    .638974    -1.03   0.310    -1.946542    .6324616
      st_mean_ideo5_3 |   .1976038   .3266087     0.61   0.548    -.4615192    .8567267
    log_population_st |   .8375533    .084043     9.97   0.000     .6679476    1.007159
  acs_female_share_st |  -.0049755   .0258608    -0.19   0.848    -.0571647    .0472137
   acs_black_share_st |  -.0041808   .0258273    -0.16   0.872    -.0563024    .0479407
   acs_asian_share_st |  -.0185938   .0481108    -0.39   0.701    -.1156853    .0784976
acs_hispanic_share_st |  -.0020843   .0120718    -0.17   0.864    -.0264462    .0222775
                _cons |  -9.419027   2.674201    -3.52   0.001    -14.81578    -4.02227
---------------------------------------------------------------------------------------
(est2 stored)

. 
. esttab using "TableA10.tex", label keep(st_var_ideo5_3 st_mean_ideo5_3 trump_share_st log_populatio
> n_st acs_female_share_st acs_black_share_st acs_asian_share_st acs_hispanic_share_st) ///
>         order(trump_share_st st_var_ideo5_3 st_mean_ideo5_3  log_population_st acs_female_share_st 
> acs_black_share_st acs_asian_share_st acs_hispanic_share_st ) ///
>         nonotes se(3) b(3) replace star(+ 0.10 * 0.05 ** 0.01) compress nogaps nodepvars 
(output written to TableA10.tex)

. 
end of do-file

. log close
      name:  <unnamed>
       log:  /Users/sungkim/Dropbox/KimPelc5/Blood_donations_paper/Final_PoP/Replication/KimPelc_PoP_
> appendix_log.log
  log type:  text
 closed on:   7 Dec 2023, 20:47:26
-----------------------------------------------------------------------------------------------------
